ESBiomech24 Congress in Edinburgh

Post-doctoral position on “Bone behavior around a self-tapping dental implant during its insertion, analysed through synchrotron radiation-based fast computed tomography” @INSA Lyon

INSA Lyon is inviting applications for a postoctoral position on the analyses of dental implant insertion into bone based on microcomputed tomography.

The candidate mission will be to analyze this data set of Sr-μCT scans in order to better
understand the influence of the implant geometry on bone biomechanical behavior during
insertion. Bone morphological characterizations will be held to follow the formation of debris
and the bone volume fraction around the implant. Digital Volume Correlation will also be
applied to follow peri-implant bone strain development during the insertion.


Requested skills:
The post-doctorate candidate must have a strong experience in the manipulation and
processing of volumetric data. Skills in computer languages such as Python or Matlab will be
needed for the further treatment of the data. Some knowledge in biomechanics are preferable
as a digital volume correlation algorithm will be use to investigate bone strain/stress behavior
during implant insertion.

More information:

4 positions at the Institute of Medical and Biological Engineering (IMBE) in Leeds, UK

The Institiute of Medical and Biological Engineering (IMBE) in Leeds, UK, is currently recruiting for 4 positions:

  1. researcher (research fellow requiring a PhD or research assistant requiring a Master) in computational damage biomechanics: https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSME1154 (for the research assistant role, check your UK working eligibility by contacting InternationalHR@leeds.ac.uk)
  2. post-doctoral research (research fellow requiring a PhD) in knee and hip biomechanical evaluation: https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSME1155
  3. PhD student in spine biomechanics: https://phd.leeds.ac.uk/project/1826-integrating-morphology-and-mechanics-developing-a-statistical-shape-and-appearance-model-ssam-for-spinal-health-assessment-intervention-planning
  4. PhD student in bone healing: https://phd.leeds.ac.uk/project/1820-computational-biomechanical-modelling-of-external-fixation-of-fractures-to-predict-bone-healing

All details of application processes are available on the respective links, deadlines within the next month.

The multi-disciplinary IMBE is embedded within the School of Mechanical Engineering and the Faculty of Biological Sciences at the University of Leeds. It is a dynamic world-renowned medical engineering research centre which specialises in research and translation of musculoskeletal and cardiovascular medical technologies that promote ’50 active years after 50’.

As a researcher or PhD student within IMBE, there will be opportunities to contribute to wider activities related to medical technologies including public and patient engagement, group training and social events. Groups of researchers working on aligned projects or using similar methods meet regularly to share ideas and best practice, and we encourage collegiate working. We will support your long-term career ambitions through bespoke training and encourage external secondments, laboratory visits or participation at international conferences.

Postdoc position on the Evaluation of Interactions between Motorcyclist, Airbag and Safety Barrier via Numerical Simulations @ Université Gustave Eiffel (Lyon or Marseille, France)

The objective of this joint project (LBA & LBMC) is to integrate the barrier impact into the airbag evaluation processes of the previous REGAM project. This objective thus feeds two strategic issues:

– Quantify the combined effects of wearing an airbag vest and of a safety barrier with or without a motorcyclist screen to reduce the risk of injury during an accident (definition, analysis and choice of injury criteria in a reference case).

– Identify the area of protection (gain/limits) offered by regulatory barriers for different impact situations with the motorcyclist (sensitivity analyses).

To do this, it is a question of establishing a crash numerical modeling combining motorcyclist, motorcycle, airbag and restraint device, based on the previous work on the subject at LBA and LBMC.

More details can be found here:

https://lbmc.univ-gustave-eiffel.fr/fileadmin/redaction/LBMC/Documents/Post-doc/REGAM2_Offre_de_PostDoc_FR_ANG.pdf

Postdoc-Position in Digital Materials Science @Clausthal University of Technology

The Institute for Materials Science and Engineering at Clausthal University of Technology is pleased to announce a postdoctoral position available for three years, with the potential for extension by an additional three years. We welcome applications from individuals who are motivated, enthusiastic, and collaborative, demonstrating a commitment to developing solutions for pressing global challenges. The salary scale for this position is EG 13 TV-L aligning with the German collective labour agreement (indicative gross monthly salary range is €4,188.00 – €6,037.00 depending on experience, family status, etc.). This opportunity is suitable for part-time work and is crafted as a qualification position for postdocs. However, we encourage outstanding candidates, including those without a PhD, to explore the opportunity to pursue a doctorate at Clausthal University of Technology.

The Institute for Materials Science and Engineering at Clausthal University of Technology has a strong application focus in Research and Teaching. The working group Digitalisation in Materials Science and Engineering has a focus on biologic, architectured materials and engineered living materials. The prospective candidate should strengthen this area strategically so that we seek a candidate with a background or interest in biological tissues.

You will find key duties, a description of your profile, what we offer, contact details, and how you can apply under https://tinyurl.com/ycxf74te. We review applications on an ongoing basis and close this advert as soon as we have found a suitable candidate. Please do not hesitate to contact us if you have any questions. We look forward to hearing from you!

Senior postdoctoral researcher in computer methods @Universitat Pompeu Fabra

We are offering a 4-5-year postdoctoral position for our research line Computer methods for modeling based on finite elements and agents in multiscale simulations, within the context of the O-Health project. O-Health is a Consolidator grant from the European Research Council, awarded by the European Commission in the framework of the HORIZON Action (PREUR02822 – HEu – ERC – CoG – O-Health – 101044828) It is directed by Prof. Jérôme Noailly, from the BCN MedTech research unit of the Department of Information and Communication Technologies (DTIC), Pompeu Fabra University (UPF), Barcelona, Spain.

The researcher will be responsible for the development of the multiscale simulation platform of the O-Health project, combining finite element (organ/tissue level) and agent-based (multicellular models) models and solvers.

The researcher will gradually become responsible for the conversion of models based on the physics and biology of the BMMB, into interoperable tools within automated simulation flows, through bottom-up and top-down modeling. Likewise, he will execute and be responsible for the conversion of the models based on the physics and biology of the BMMB, into interoperable tools within automated simulation flows, for the bottom-up and top-down modeling of O-Health. You will define, program and implement workflows using and adapting existing free and open solutions, such as SBML, HDF5 and MUSCLE.
The researcher must check that the project deadlines and deliverables are met, and that the project results can be adequately disseminated through scientific media, congresses and medical journals, as well as periodically report to the PI.

Application deadline: 21/12/2023

More information:

https://euraxess.ec.europa.eu/jobs/113582

2 postdoc positions on computational modeling of Achilles tendon mechanics and/or mechanobiology @Lund University

We are hiring two ambitious and curious post-doctoral researchers in computational modeling of tendons. This position is within the ERC-funded project (Tendon_MechBio) with the scope to elucidate how mechanical loading affects tendon mechanics and tendon regeneration. The modeling will be based on unique experimental data collected within the team. We would like to employ two postdoctoral researchers with the following two aims. 

  1. To develop detailed structural and anatomical computational models of the tendon tissue, in order to understand how mechanical loading influences tendon function, structure and composition. The computational modeling will be based on unique collected experimental data of collagen fiber structure and. The detailed structural models will be key in the project to elucidate the mechanisms guiding the tendon organ and tissue level response to load.
  2. To investigate how mechanical loading influences healing tendon function, structure and composition. The project includes further developing and validating an existing adaptive mechanoregulatory model for tendon repair. This will be based on collected experimental data. The developed computational scheme will be important for the project to elucidate the mechanobiological mechanisms at play.

Applicants can present preferences between aim 1 or 2, or state interest in both options.

The link to the full advertisement and application system is below:

https://lu.varbi.com/en/what:job/jobID:673035/

Application deadline: 7th December

Postdoc position in Experimental Bone-Spine mechanics @University of Sheffield

Are you looking for an exciting PostDoctoral post in Experimental Bone/Spine mechanics?

Join us at Insigneo to work with Dr Enrico Dall’Ara and Prof Damien Lacroix on the recently EU funded METASTRA project!

This highly interdisciplinary post-doctoral position will advance our understanding of the biomechanics of metastatic spine and will create an experimental database for the validation of computational models for assessing metastatic vertebrae before and after treatment.

The position is within Insigneo and is funded as part of Horizon Europe/Innovate UK research project METASTRA (https://www.metastraproject.eu/) that aims to provide a combination of computational models biomechanically validated and demonstrated in relevant clinical environments that will be incorporated in a clinical decision support system.

This part of the project is focused on model validation using state of the art mechanical testing combined with imaging and digital volume correlation.

You will have an excellent PhD in biomechanics (or a related discipline), possess a solid knowledge of bone imaging and experimental biomechanics.

Ensuring the achievement of the project objectives will advance the vision of the Insigneo institute to validate computational models for the musculoskeletal system and produce a transformational impact on healthcare.

The PDRA will also sustain and strengthen collaboration within relevant Insigneo research groups and beyond; and will commit to Insigneo’s mission to produce high quality and impactful cutting-edge research. You will join the group of Dr. Enrico Dall’Ara and Prof Damien Lacroix. Our biomechanics group within the Department has an international and interdisciplinary profile and a strong commitment to clinical and industrial translation with impact in future healthcare. We are active in biomechanics and mechanobiology of the neuromusculoskeletal systems. We have access to a fully equipped human movement analysis laboratory, a tissue testing/mechanobiology laboratory, and to ex vivo and in vivo microCT imaging facilities

Link for Applications

Deadline applications: 6th December 2023

Tentative Start: 1st March 2024

Duration: 3 years

Postdoc position in data-driven modelling for endovascular thrombectomy @CIMNE Barcelona

We are looking for a postdoctoral researcher to work on the project MECA-ICTUS, a 3-year project funded under the Generación de Conocimiento 2022 call of Agencia Estatal de Investigación. In MECA-ICTUS we will pursue the development of computational mechanics and machine learning tools for predicting the success of endovascular thrombectomy, an urgent intervention for the removal of thrombi in Acute Ischemic Stroke Patients.

The selected candidate will be responsible of 1) development of computational mechanics tools within an on-going Finite Element framework in Julia language, in which the PI and collaborators have worked during the last 4 years, and 2) development of machine learning models to predict the success of the intervention.

The project is meant to ensure the professional growth of the selected candidate. He/she will work in CIMNE/LaCàN (UPC), an enriching environment with a strong expertise in computational mechanics, biomechanics and data-driven modelling. The project will also involve exchanges with international researchers in France, Italy and USA as well as continuous exchanges with clinicians to ensure the adequacy of the numerical developments.

For applications, please see details below.

For any enquiries don’t hesitate to reach the project PI, Miquel Aguirre (miquel.aguirre@upc.edu). No application will be accepted by e-mail.

 Required skills:

  • A PhD in applied mathematics or engineering in the field of computational mechanics.
  • Strong knowledge of nonlinear continuum mechanics.
  • Programming experience in scientific computing.
  • Experience in the development of finite element software.
  • Writing and communication skills.

Other valued skills (not mandatory):

  • Experience in the development of machine learning models.
  • Experience in Julia programming.
  • Experience in the development of nonlinear solid mechanics solvers, involving large deformations and/or contact and/or fracture.
  • Experience in preprocessing medical imaging data for patient-specific simulations.

Qualification system:

The requisites and merits will be evaluated with a maximum note of 100 points. Such maximal note will be obtained summing up the following points:

  • Publication and career track: 10%
  • Previous research and/or academic experience in the field of the position: 20%
  • Programming skills: 20%
  • Language and communication skills: 20%
  • Interview: 30%

Candidates must complete the “Application Form” form on our website, indicating the reference of the vacancy and attaching the required documents.

The deadline for registration to the offer ends on September 30, 2023 at 12 noon.

The preselected candidates may be requested to send the documentation required in the “Requirements” and “Merits” sections, duly scanned, and may be called to go through selection tests (which might be of eliminatory nature) and / or personal interviews.

Proyecto PID2022-136668OA-I00 financiado por MCIN/AEI/10.13039/501100011033/ FEDER, UE

Further details and application link: https://www.cimne.com/vnews/m973/11967/vac-2023-49-%E2%80%93-postdoc-position-in-data-driven-modelling-for-endovascular-thrombectomy

Two open post-doctoral positions @Lund University

We have two open post-doctoral positions in our team – one experimental related to image analsyis of soft knee tissues, and one numerical related to computational modeling of tendon mechanics. 

1: Experimental synchrotron imaging of soft knee tissues:

We are looking for a post-doctoral researcher focusing on synchrotron imaging and image analysis to join our team.  The goal for the post-doc is to develop, perform and primarily analyze data from high resolution experimental imaging of soft tissues, acquired mainly using synchrotron phase contrast X-ray tomography, but also other imaging modalities. The goal includes characterizing meniscus and cartilage microstructure and its relation to loading, based on in situ loading experiments during imaging.

The link to the full advertisement and application system is below:

https://lu.varbi.com/en/what:job/jobID:631105/type:job/where:4/apply:1

Application deadline:  6th of July

Please contact Prof. Hanna Isaksson (hanna.isaksson@bme.lth.se) with any questions.

2: Numerical modeling of achilles tendon mechanics and/or mechanobiology:

We are looking for a post-doctoral researcher in computational modeling of tendons. This position is within a larger ERC-funded project (Tendon_MechBio) with the scope to elucidate how mechanical loading affects tendon mechanics and tendon regeneration. There is a possibility to employ up to two postdoctoral researchers with the following two aims. 

  1. To investigate how mechanical loading influences healing tendon function, structure and composition. The project includes further developing and validating an existing adaptive mechanoregulatory model for tendon repair. This will be based on collected experimental data. The developed computational scheme will be important for the project to elucidate the mechanobiological mechanisms at play. 
  2. To develop detailed structural and anatomical computational models of the tendon tissue, in order to understand how mechanical loading influences tendon function, structure and composition. The computational modeling will be based on unique collected experimental data. The detailed structural models will be key in the project to elucidate the mechanisms guiding the tendon organ and tissue level response to load. 

Applicants can present preferences between aim 1 or 2, or state interest in both options.

The link to the full advertisement and application system is below:

https://lu.varbi.com/en/what:job/jobID:630270/type:job/where:4/apply:1

Application deadline: 6th of July

Please contact Prof. Hanna Isaksson (hanna.isaksson@bme.lth.se) with any questions.

Postdoc position on Computational modeling of drug-toxin interactions in the kidney @Maastricht University

The department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technologyinspired Regenerative Medicine at Maastricht University in the Netherlands invites applications for a postdoctoral position. The post-doctoral researcher will perform cutting-edge research in computational modeling methods applied to drug-toxin interactions in the kidney. Chronic kidney disease (CKD) is one of the top ten causes of death worldwide. Gradual decline in kidney function leads to accumulation of metabolic waste products (toxins) normally excreted by the kidneys, contributing to progression of CKD and its comorbidities, in particular cardiovascular disease. To alleviate the CKD complications, patients are routinely treated with many drugs, such as antihypertensive and cholesterol-lowering agents. However, the transporter proteins in kidney cells that handle these drugs are also responsible for secreting the toxins, and may, therefore, not be able to handle the competing demands. Considering the multitude of CKD drugs, toxins and transporter proteins and their potential interactions, investigating drug-toxin interactions is experimentally time consuming and difficult to accomplish. In this project, funded by the Dutch Kidney Foundation (https://nierstichting.nl/), we propose to integrate computational and experimental expertise with state-of-the-art technologies to address investigate drug-toxin interactions in the kidney and improve CKD drug treatments.

Project description: 

  • Computational modeling of drug-toxin transport in the proximal tubule; (competitive) binding kinetics;
  • Sensitivity analysis;
  • Analysis and integration of various in vitro/in vivo data for model calibration;
  • Parameter optimization.

Application deadline: 29 June 2023

More information:

https://www.academictransfer.com/en/328781/postdoc-position-merln-computational-modeling-of-drug-toxin-interactions-in-the-kidney/


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