25th Congress of the European Society of Biomechanics

Featured

The 25th Congress of ESB will take place in Vienna, Austria from 7 – 10 July 2019.

ESB 2019 is jointly organized by Philipp THURNER (TU Wien), Dieter PAHR (TU Wien & KL Krems), and Christian HELLMICH (TU Wien). The congress itself will take place at the University of Vienna which is located in the centre of the city.

Prospective authors are encouraged to submit their latest research for capturing and discussing the science at the forefront of biomechanics in a mix of oral and poster presentations.

Abstracts have to be submitted online through the congress website by January 31, 2019. Further information is available here.

Further detailed information as well as information on sponsoring and exhibition can be found here.

We are looking forward to receiving your contributions and to welcoming you at ESB2019 in Vienna!

PhD position at the Universitat Pompeu Fabra, Barcelona, Spain, starting October 2019.

A PhD position is available at the BCN-MedTech Research Unit (https://www.upf.edu/web/bcn-medtech/), Department of Information & Communication Technologies (DTIC) of the Universitat Pompeu Fabra (UPF), Barcelona, Spain, in close collaboration with IDIBAPS and BCNatal – The Fetal Medicine Research Centre (https://medicinafetalbarcelona.org) of Hospital Clínic de Barcelona, starting October 2019.

PhD project: The Heart-Brain axis, or There and Back again: the journey towards brain development traverses vascular territories

The heart and the brain are arguably the two most fascinating and important organs of the human body. Scientists have been studying these organs for centuries but mainly at an individual organ level. There is a need for a more systemic approach to study the physiology of some neurological and cardiovascular processes that remain not well understood, even with the current deluge of medical data and tools available nowadays. A good example involves brain development, especially in abnormal conditions such as after insults during pregnancy (Intra-Uterine Growth Restriction, IUGR). There are plain and numerous evidences on the effect of IUGR on the cardiovascular system and in the brain of these infants, but they have never been studied together. The aim of this project is to create a computational modelling platform, linking heart and brain systems, to test the influence of mechanical forces originating from vascular anatomy, haemodynamics and metabolic characteristics on brain development in normal and abnormal conditions. This research will open up opportunities for understanding systems-based mechanisms of other conditions affecting heart and brain such as congenital heart disease, schizophrenia, autism, neurodegenerative diseases or neurocardiology applications.

The first task will involve the development of a model of neurological development coupling brain mechanics with a multi-scale model of blood circulation and metabolism. Local forces will arise from anisotropic tissue surrounded by fluid and skull as well as pulsatile forces through vessels and their acute and chronic remodelling. Blood circulation models from the heart to the brain will provide regional flow and pressures at different scales, whereas metabolic exchange models will be included to describe oxygen and nutrients diffusion from vasculature to brain tissue. In a second phase of the project, parametric studies will be performed to identify the most relevant characteristics for normal and abnormal brain development. Mesh-less numerical techniques will be explored. Robust verification and validation experiments of the developed computational models will be implemented, both for each sub-system individually and globally. A thorough sensitivity analysis of the parameters will be achieved to determine the ones having the largest influence on brain development and how cardiovascular deficiencies can induce abnormal neurodevelopment. A unique clinical database of IUGR cases available at Hospital Clínic de Barcelona, including brain and heart data from the same cases, will be used to personalize, validate and guide the modelling work. The combination of physiological modelling and machine learning techniques to analyse this data is planned.

This project is strongly interdisciplinary, joining clinical, biomedical and technical expertise. The PhD candidate will be surrounded by a team including experts, postdocs and junior researchers from different disciplines (engineering/physics, biomedical/experimental), available in the hosting research group (PhySense, part of the BCN-MedTech research unit at UPF) and from our collaborators (P. Saez, Universitat Politècnica de Catalunya; D. Rueckert, Imperial College London; M. Sermesant, M. Lorenzi, Inria, France; O. Coulon, Aix-Marseille Université; Pr. B. Bijnens, Dr. F. Crispi, Dr. E. Eixarch, Hospital Clínic de Barcelona; M. Vázquez, Barcelona Supercomputing Centre; V. Borrell, Instituto Neurociencias Alicante; S. Safaei, G. Talou, P. Hunter, Auckland Bioengineering Institute).    

Workplace

The main supervisor of this PhD is Oscar Camara, Associate Professor at the Department of Information and Communication Technologies of the Universitat Pompeu Fabra (DTIC-UPF, https://www.upf.edu/web/etic), and leader of the PhySense research group. The DTIC at the UPF is the first Spanish ICT department that has been awarded with the María de Maeztu grant (excellence in science and innovation accreditation, 2016-2019) on data-driven knowledge extraction (https://www.upf.edu/web/mdm-dtic), and the Spanish university department with the largest number of ERC grants (15, including 6 Advanced ERC Grants). PhySense was recognized as an Emerging Research Group by the Government of Catalonia in 2014 and it is currently composed of 21 members, including 6 postdocs, 10 PhDs and 3 software developers. In September 2016, the group was one of the founding members of the BCN-MedTech unit (https://bcn-medtech.upf.edu/), a Research Unit at UPF that holds more than 200 I+D projects, 95 external collaborations, 1000 high-impact publications, 19 patents and 61 PhD Thesis. It recently (2018) obtained the TECNIO certification from the Catalan Government, given to research centres with proven record of technology transfer.

The PhD will be performed in close collaboration with clinical researchers from Hospital Clínic de Barcelona, experts in both cardiovascular and brain-related development and remodelling: IDIBAPS, supervised by ICREA Research Pr. B. Bijnens; and The Fetal Medicine Research Centre at the Maternity Hospital; supervised by Dr. F. Crispi, Dr. E. Eixarch and Pr. E. Gratacós). Researchers from prestigious international institutions will also be involved in the project (see above), enabling the possibility of short stays during the doctorate.

Profile of the candidate

We are looking for highly motivated young researchers with a Master degree (or equivalent) in Biomedical Engineering, Physics, Mechanical Engineering, Applied Mathematics, Computational Science, or related disciplines, willing to study and do research at the leading edge of biomedical engineering. Experience in computer sciences and having proven programming skills would be of importance. High motivation is the only essential pre-requisite; our top-quality research standards demand hard work, which only strong motivation and commitment can ensure. Nevertheless, candidates already familiar with (continuum) mechanics, ideally in medical applications, would have a faster start of the project. Review Tallinen et al. paper (Nature Physics, 2016; https://www.seas.harvard.edu/softmat/downloads/Brain-morph.pdf) as a good example on what it should motivate and not scare you (code available: http://users.jyu.fi/~tutatall/codes.html). 

Candidates must have excellent teamwork and communication skills and be enthusiastic about collaborating with a diverse range of international partners. We expect them to be fluent in English as it will be the language used to interrelate with the different partners. Interest in clinical translation is essential since meetings with clinicians will regularly take place. Female applicants are explicitly encouraged to apply and will be treated preferentially whenever they are equally qualified as other male candidates. 

More information on the requirements for a PhD position at the Universitat Pompeu Fabra can be found on https://www.upf.edu/web/etic/doctorat and http://www.upf.edu/doctorats/en

Conditions 

An initial training plan will be set up by selecting the best opportunities in the PhD programme of UPF and available initiatives within our collaborators. Clinical training will be organized depending on the needs and background of the researcher. BCN-MedTech offers an ideal working environment, mainly due to the large critical mass of experienced senior investigators in diverse areas of biomedical engineering, junior postdoctoral researchers and an international team of talented young PhD students; there is always someone that can help! In addition, the extensive network of collaborations, including clinical and large infrastructure partners, gives us a privileged access to unique data, software and technological facilities. The maximum score usually obtained in individual national and international fellowships evaluating the institution repeatedly demonstrates the excellent training environment of BCN-MedTech. Initially, this PhD will be funded by a DTIC-UPF fellowship, which is associated to a teaching load of 60 hours per academic year (https://www.upf.edu/web/etic/predoctoral-research-contracts), which is a good opportunity for PhD students to get familiar, from the beginning of their career, with teaching activities. The teaching topics are chosen depending on the PhD background, preferentially in the biomedical engineering BSc and MSc degrees we manage (https://www.upf.edu/en/web/etic/bachelor-degree-biomedical-engineering-2016). Supervising practicum internships as well as BSc and MSc thesis is also possible. The first year starts with around 1000 euros gross monthly salary, which is progressively increased during the PhD. You won’t get rich, we know; unfortunately, this is valid for most pre-doctoral students worldwide. Nevertheless, we encourage and support our students to apply for individual fellowships, which are usually better paid (https://www.upf.edu/web/phdfunding). Complements can be discussed. 

Deadline and contact information

Applicants should send a curriculum vitae and a motivation letter describing their research interests to Oscar Camara <oscar.camara@upf.edu>. Deadline: 9th of April 2019.  

“PhD in “Development of functional anatomical models using 3D Printing” @KLKREMS

The Karl Landsteiner University of Health Sciences (KL) is part of an academic and research community located at the Campus Krems, and includes a network of comprising teaching hospitals in St. Pölten, Krems and Tulln. The university offers degree programs in Human Medicine, Psychotherapy, Counselling Sciences and Psychology and are tailored to the requirements of the Bologna model, opening the door to new, cutting-edge health professions. KL is committed to raising its profile in specific areas of biomedicine, biomedical engineering, and biopsychosocial sciences by entering into strategic academic and research partnerships with other institutions.

Starting at Mai 2019, the department of anatomy and biomechanics (division of biomechanics, Univ. Prof. Dr. Dieter Pahr) offers a research position, which is limited to the duration of three years:

Research Assistant m/f (Pre Doc, 30 h)

Your responsibilities:

  • Participation in the funded research project “Development of functional anatomical models using 3D Printing“ (carried out together with ACMIT Gmbh, Wr. Neustadt)
  • In particular: 3D printing of different materials, mechanical characterization of 3D printed parts as well as biological tissues, micro‐computed tomography (μCT), implementation of analysis software, writing of scientific reports
  • Supervision of students and participation in teaching

Your profile:

  • Master degree in biomedical engineering, mechanical or civil engineering, technical physics, material sciences or similar fields
  • Handicraft skills and enjoyment of manual laboratory work
  • Interest in 3D printing and scientific work
  • Reliable and independent way of working
  • Friendly and team oriented personality

Your perspective:

  • You can expect a challenging job in an internationally recognized and highly motivated team
  • Achieve the academic degree of a PhD (Dr. techn.), issued from the TU Vienna.

The Karl Landsteiner University of Health Sciences is dedicated to achieving a balanced mix of male and female academic and non-academic staff. Consequently, applications from female candidates are particularly welcome.

The minimum gross salary for this position is € 2.112,40 (30 h). Overpayment based on the internal salary structure and individual qualifications and experience is possible.

Applications should include a motivation letter, curriculum vitae, and credentials and should be mailed by 29 March 2019 to Ms. Christina Schwaiger of the Karl Landsteiner University of Health Sciences, Dr.-Karl- Dorrek-Straße 30, 3500 Krems, Austria (bewerbung@kl.ac.at).

Senior Research Associate University of Portsmouth – Faculty of Science

Employment type: Fixed-term contract for 6 months

Interview date: 28 March 2019

We are seeking to appoint a Senior Research Associate (SRA) to contribute to the project “3D printing of complex scaffolds for the repair of osteochondral defects” developed in collaboration between the Biomaterials and Drug Delivery group (http://www.port.ac.uk/school-of-pharmacy-and-biomedical-sciences/research/biomaterials-and-drug-delivery/) and the Zeiss Global Centre (http://www.port.ac.uk/school-of-engineering/zeiss-global-centre/) at the University of Portsmouth.

Osteochondral lesions are painful, and predispose to osteoarthritis (OA), which is unquestionably one of the most important chronic health issues in humans, affecting an estimated 8.5 million people in the UK only. Due to the absence of vascularisation in cartilage, its regenerative capacity is limited, and treatment is required for repair. Severe limitations of current treatments, such as microfracture and autografts, have inspired research into more effective tissue engineering strategies, involving the implantation of stem cells able to repair the tissue. The implanted stem cells must be able to differentiate both into cartilage and bone cells. The differentiation of the cells can be controlled by changes in the modulus of the implant; however, there are no current scaffold materials that allow this concurrent double differentiation. We therefore propose to use our state of the art 3D bioprinter (Cellink) – able to co-print multiple materials and cells – to develop complex structures of biocompatible polymers of selected stiffness and porosity, to study how architectural and mechanical properties of the scaffold guide cells differentiation into the two types of cells desired.

The successful candidate will have a PhD degree or equivalent with experience in tissue culture in particular with stem cells, knowledge of some of the following areas is desirable: bioengineering, mechanobiology, x-ray/confocal microscopy, mechanical testing, 3D printing and biomaterial formulation. The SRA will work in a dynamic environment and benefit from the existing collaborative research between Dr Marta Roldo (expert in the synthesis, formulation and characterisation of biocompatible materials), Dr Petko Petkov (expert in mechanical and design engineering required to adapt the 3D printing process to the higher complexity of bio 3D printing) and Dr Gianluca Tozzi (X-ray computed tomography and correlative imaging).

The post is based at the School of Pharmacy and Biomedical Science, University of Portsmouth, with the appointment effective as soon as possible or no later than 1st April 2019. For informal enquiries please contact Dr Marta Roldo at marta.roldo@port.ac.uk or phone +44 (0)23 9284 3586.

Location:Portsmouth
Salary:£30,395 to £34,189 per annum
Hours:Full Time
Contract Type:Fixed-Term/Contract
Placed On:18th February 2019
Closes:9th March 2019
Job Ref:ZZ005155

webpage for applications:

https://www.jobs.ac.uk/job/BQH756/senior-research-associate

Professorship with a Tenure Track Perspective at Charité

Opening of a Professorship with a Tenure Track Perspective at Charité – Universitätsmedizin Berlin and the Berlin Institute of Health (BIH):

The candidate is expected to drive biomaterial-based tissue regeneration towards clinical applications and is expected to take an active role in the scientific focus area “Regenerative Therapies -BCRT” and to engage her-/himself in the DFG-funded research group „Regeneration in Aged: Bone healing as a model system to characterize regeneration under compromised conditions” (FOR2165).

The professorship is expected to strengthen the research focus in Biomechanics, Biomaterials und Cell-Therapies in a tight coupling with the Julius-Wolff-Institute and the Center for Musculoskeletal Surgery of the Charité.

Charité is intending to fill this position with an outstanding, internationally acknowledged scientist with substantial contributions in Cell-Biomaterial interactions and the biomaterial-driven tissue regeneration with a focus on musculoskeletal tissues.

Candidates should have received a PhD in Engineering or Sciences, a minimum 3-year postdoc and contributed with excellent peer reviewed papers to the scientific field. Experience with R&D in a research-oriented company, specifically in biomedical material development or production would be highly appreciated.

Please submit your application including your conceptional ideas until 5.03.2019 to https://career.charite.de

for details please see https://career.charite.de/am/calls/Bewerbungshinweise.pdf

Please include next to CV and publication list a brief 2-3 page description of your future plans at Charité and BIH.

In case you have any further questions, please do not hesitate to contact georg.duda@charite.de.

Simpleware ScanIP comes with FDA 510(k) clearance

Synopsys are pleased to announce the release of the Simpleware ScanIP Medical edition. This exciting new version of Simpleware ScanIP comes with FDA 510(k) clearance, and CE and ISO 13485:2016 certification as a medical device.

Learn more about Simpleware ScanIP Medical – with link http://bit.ly/2MSsmKC

Learn more about the clinical applications of Simpleware software – with link http://bit.ly/2GEsD2A

Postdoctoral Researcher in Computational Modelling for Tendon Tissue Engineering

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford

Grade 7: £32,236 – £39,609 p.a.

Applications are invited for the position of a Postdoctoral Researcher in Computational Modelling for Tendon Tissue Engineering to join an interdisciplinary team of researchers collaborating on a project led by Dr Mouthuy at the Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford.

This post will be included in the activities of the Carr group as well as Professor Jerusalem’s group at the Department of Engineering Science, Oxford and Professor Waters’ group at the Mathematical Institute, Oxford and as such the postholder will be required to work across these locations.

As a Postdoctoral Researcher in Computational Modelling for Tendon Tissue Engineering you will participate in the activities of the research team in the Humanoid Bioreactor project, sharing skills and knowledge and publishing your findings in peer-reviewed journals.

You will analyse, contextualise and interpret data, write and maintain programs and protocols for data analysis as well as train and supervise graduate and undergraduate students as appropriate.

You will hold a PhD/DPhil (or near completion) in a discipline of direct relevance to computational mechanics and/or tissue engineering.
You will be competent with programming languages such as C/C++ and Matlab as well as numerical simulations, model calibration and validation.
You will have an experience in implementing mathematical descriptions of physical biological processes and you will be highly self-motivated and committed to pursuing interdisciplinary research.
Experience with handling clinical imaging data such as CT, MRI or ultrasound scans, strong competences in the use of CAD software to design materials and an ability to conduct experiments with cells and biomaterials are desirable.

This is a full-time fixed-term appointment for 3 years.
You will be required to upload a CV and supporting statement as part of your online application.
The closing date for this position is 12.00 noon on Monday 18 March 2019.

More details and applications:

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=139124

PhD student position in Statistical Shape Modelling and Analysis of knee structures

Position nr.: HR_2019_JS2

Department: Dept. of Physics (Vision Lab)

Date posted: Tuesday, 22 January, 2019

Position status: Full Time Salaried

Project title: 

PhD student position in Statistical Shape Modelling and Analysis of knee structures (f/m)

Description: 

Imec-Visionlab and the Orthopaedics research group at the University of Antwerp have an open position for a PhD student to work on developing innovative methods for Statistical Shape Modelling and Analysis of knee structures. This multidisciplinary project will be supervised jointly by prof Jan Sijbers (Imec-Visionlab) and prof Peter Verdonk (Orthopaedics research group at the University of Antwerp).
The aim of the project is to develop an innovative treatment algorithm for patients after a meniscectomy and to provide anatomical input for a novel meniscus implant design by means of statistical shape modelling.
Statistical shape modelling is a technique to capture the natural variation within a population of shapes. It has a wide range of applications in medicine, industry, and science. In this PhD project, new methods will be developed to recommend a specific type of meniscus implant based on the shape of various knee structures.

Tasks: 

The project consists of two main tasks. First, a statistical shape model of the knee joint is to be created in order to represent the knee shape in a compact and concise way. Second, this statistical shape model is to be integrated with machine learning techniques in order to recommend a specific choice of meniscus implant.
This PhD project will proceed in coordination with MEFISTO: a large EU-funded Horizon 2020 project involving 4 Universities and 9 Companies throughout Europe. Various opportunities will be presented within this PhD position to collaborate with top researchers and industry partners.

Qualifications: 

• Degree: You have a M.Sc. degree in the field of Computing Science, Mathematics, Physics, Engineering and a special interest in anatomy and orthopaedics. Candidates with a Medical degree and a strong interest in engineering and excellent engineering skills are also encouraged to apply.
• Computer programming experience
• Ability to work independently as well as in team
• Highly motivated and driven to explore research questions in depth
• Excellent oral and written proficiency in English
• Willing to travel abroad to collaborate with international partners and participate in international conferences

You love interdisciplinary science, and want to advance the field of shape modeling with your skills, creativity and novel solutions. You like to develop theory and afterwards code to put your new methods into practice. You also want to tell the world about your findings with sparkling presentations.

Labs involved: 

The Vision Lab (http://visielab.uantwerpen.be/) is a strong and exciting research group and has unique expertise in the development of algorithms for reconstruction, processing and analysis of imaging data. The working environment is strongly interdisciplinary, combining techniques and insights from Physics, Mathematics and Computer Science. The group has a broad range of national and international collaborations with both academic and industrial partners. Recent Vision Lab publications on statistical shape modelling can be found on http://visielab.uantwerpen.be/research/shape-modeling.

The orthopaedics research group at the University of Antwerp is part of a multidisciplinary research team that incorporates the fundamental, clinical and translational research activities around reconstructive knee surgery with a particular interest in meniscus pathology.Our offer: 

• An exciting research trajectory towards a PhD
• Applied research with direct impact on patient treatment methods
• Multidisciplinary research: cooperation with strong academic research and industrial partners
• A world-class research environment with state-of-the-art instrumentation

Starting date: 

01/03/2019

Applications: 

Interested candidates are invited to send a motivation letter, a detailed CV (including followed courses, honours, grades, previous work, programming skills, publications, …) and contact info of two references to Christine.waerebeek@uantwerpen.be with cc to jan.sijbers@uantwerpen.be and pverdonk@yahoo.com with subject ‘PHD_MEFISTO_2019’.

Website:

https://visielab.uantwerpen.be/open-positions/phd-student-position-statistical-shape-modelling-and-analysis-knee-structures-fm

Synopsys are looking for Early Stage Researchers

Synopsys are looking for Early Stage Researchers for an outstanding opportunity to be part of a H2020-funded EU project RAINBOW on biomechanics and simulation. Based in the Synopsys offices in Exeter, UK, with placements in Cardiff University and the University of Luxembourg, the positions are generously funded and provide great experience in an industrial environment.

RAINBOW vacancy:

Luxembourg – http://bit.ly/2ML2cto

Cardiff – http://bit.ly/2G5B9Z8

PhD in “Biomechanics and biomedical engineering in reconstructive surgery of feet”


Cranfield University and Aston University Birmingham

Applications are invited for a three year EPSRC Doctoral training Partnership Postgraduate studentship, supported by the Engineering and Physical Sciences Research Council (EPSRC) to be undertaken within the Biomedical Engineering Research Unit at Aston University and the Forensics Biomechanics Laboratory in Cranfield University.

Musculoskeletal issues in the feet of growing children result in pain and gait problems during skeletal maturity in adolescence. Many of these cases require surgery to relieve pain and prevent disability in adult life such as joint arthritis. This project aims to investigate the key parameters impacting surgical outcomes with the aim of improving surgical planning and prognosis. This project will include gait analysis, parametric analysis of patient data and mechanical testing; therefore the candidate will be consulting with collaborators in orthopaedic surgery, biomechanics and mechanical engineers. The candidate will gain a unique opportunity to carry out clinical-led research in an exciting interdisciplinary project. The candidate would also benefit from the use of modern facilities at Aston and Cranfield. This includes a gait analysis lab, biomedical testing lab and tissue biomechanics lab. The candidate will spend the majority of time at Aston University with part of the time at Cranfield University’s Defence & Security School, Shrivenham.

At a glance

  • Application phase will stay open until the post is filled.
  • Award type(s)PhD
  • Start date after 04 Feb 2019
  • Duration of award 3 years
  • Eligibility EU, UK
  • Reference number PHD CFI03

Supervisor

Professor Peter Zioupos (Cranfield University)

Dr Sarah Junaid (Aston University)

Clinical supervisor: Mr Basil Budair

Entry requirements

Applicants should have a Masters at merit level (or MEng) in an appropriate subject and a First class or upper second (2:1) class honours degree or equivalent qualification in Mechanical engineering, Biomedical Engineering or Biomechanics. The candidate will have an excellent academic track record and preferably have one or more of the following skills or knowledge/experience of: biomechanics, gait analysis, inverse dynamics, statistical data analysis, finite element modelling.

Person specification and full details at: www.cranfield.ac.uk/research/phd/cds-a-statistical-parametric-tool-for-flatfoot-surgery

Funding

This studentship includes a fee bursary to cover the home/EU fees rate plus a maintenance allowance of £ 14,777/year for 3 years.  

*Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees, which is currently a difference of £14,240 per annum.  As part of the application you will be required to confirm that you have applied for, or, secured this additional funding elsewhere, if you are from outside of the EU.

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This Network brings together both research students and staff, providing a platform for our researchers to share ideas, identify opportunities for collaboration and create smaller communities of practice.  It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

If you are eligible to apply for this research studentship, please complete the online application form.

Please quote the following title and reference number: PhD in “Biomechanics and biomedical engineering in reconstructive surgery of feet” with the reference number PHDCFI03.

In addition to the application form, please attach a covering or motivational letter as well as a CV.

For further information contact us today:

CDS Admissions office
T: 44 (0) 1793 785400
E: cdsadmissionsoffice@cranfield.ac.uk

https://www.findaphd.com/phds/project/phd-in-biomechanics-and-biomedical-engineering-in-reconstructive-foot-and-ankle-surgery/?p101135