Category Archives: News

General news articles from the ESB.

4th ESB Webinar reminder: “FEBio, a Nonlinear Finite Element Solver for Biomechanics “

We remind our members about the 4th webinar of the ESB Webinar Series which will introduce the FEBio Software SuiteThe webinar will take place on March 30th 2020 at 17:00 CET.

This seminar has been co-organised by the ESB and VPHi student committees.

FEBio is a freely-available finite element solver designed specifically for solving problems in computational biomechanics and biophysics. This webinar on the FEBio software project will be focused mostly on new FEBio users and aims to:

  • Introduce FEBio and provide an overview of its capabilities.
  • Introduce FEBio Studio, a new integrated environment for setting up, running, and analyzing FEBio models.

At the end of this webinar, attendees will have learned the basic steps for working with FEBio and FEBio Studio, including how to:

  • Import surface and CAD geometry into FEBio Studio and generate FE meshes.
  • Set up boundary conditions, material parameters, and analysis settings.
  • Run the FEBio solver from within FEBio Studio.
  • Visualize and animate the FEBio results.

The webinar will be conducted by Dr. Steve Maas. He received his Master’s in Physics from the University of Antwerp, Belgium, in 2002 and his PhD in Computing from the University of Utah, USA, in 2017. Since 2005, he has been employed at the Musculoskeletal Research Laboratory at the University of Utah where he has been the lead software developer on the FEBio software project. FEBio is a finite element solver designed specifically for solving problems in computational biomechanics and biophysics. It accomplishes this by focusing on constitutive models, loading conditions, and modeling scenarios that are relevant to these research domains. Steve Maas has also created the PreView and PostView supporting software packages, which are used for pre-processing and post-processing, respectively, FEBio models. He is also the lead on the new FEBio Studio project, which is a fully integrated environment that combines many of the pre- and post-processing and solver capabilities, in a single unified interface.

The seminar will last 45 minutes followed by 15 minutes of Q/A from the audience. You will have the chance to ask your questions which will be addressed by the speaker at the end of the webinar. However, it would be great if you could send your question in advance while filling the registration form or by sending to Ehsan.soodmand@charite.de and/or rodrigo.romarowski@grupposandonato.it  before the start of the webinar.

Click here to register for the webinar.

Please Subscribe to our YouTube channel! (https://www.youtube.com/esbiomech ) and set a reminder for yourself via YouTube (https://www.youtube.com/watch?v=dFsosn8Cn0Y)

Looking forward to your attendance.

ESB Student Committee

Call for ESB Mobility award 2020

The ESB is happy to announce the call for the Mobility awards 2020.

The ESB Mobility Grant aims to provide ESB members with financial assistance to carry out collaborative research in a foreign country as part of their PhD or postdoctoral research. The applicant and the scientist responsible of the host laboratory must be ESB members in good standing for at least 6 months.

The application deadline is 31st May 2020 and the winners will be announced at the ESB Congress, Milan, July 2020.

This year we have added at least one award dedicated to senior postdocs that is added to standard awards given to PhD students or junior postdocs.

There are at least three awards available for 2020 on a competitive basis:

-) Junior Awards: at least two awards for PhD students or postdocs maximum one year after receiving their PhD degree;

-) Senior Awards: at least one award for postdocs between 2 and 5 years after receiving their PhD degree.

More details about the application can be found here:

14 PhD scholarships within exciting ITN project!

Mediate – The Medical Digital Twin for Aneurysm Prevention and Treatment

https://cordis.europa.eu/project/id/859836/it

MeDiTATe aims to develop state-of-the-art image based medical Digital Twins of cardiovascular districts for a patient specific prevention and treatment of aneurysms. The Individual Research Projects of the 14 ESRs are defined across five research tracks:
(1) High fidelity CAE multi-physics simulation with RBF mesh morphing (FEM, CFD, FSI, inverse FEM)
(2) Real time interaction with the digital twin by Augmented Reality, Haptic Devices and Reduced Order Models
(3) HPC tools, including GPUs, and cloud-based paradigms for fast and automated CAE processing of clinical database
(4) Big Data management for population of patients imaging data and high fidelity CAE twins
(5) Additive Manufacturing of physical mock-up for surgical planning and training to gain a comprehensive Industry 4.0 approach in a clinical scenario (Medicine 4.0)


The work of ESRs, each one hired for two 18 months periods (industry + research) and enrolled in PhD programmes, will be driven by the multi disciplinary and multi-sectoral needs of the research consortium (clinical, academic and industrial) which will offer the expertise of Participants to provide scientific support, secondments and training. Recruited researchers will become active players of a strategic sector of the European medical and simulation industry and will face the industrial and research challenges daily faced by clinical experts, engineering analysts and simulation software technology developers. During their postgraduate studies they will be trained by the whole consortium receiving a flexible and competitive skill-set designed to address a career at the cutting edge of technological innovation in healthcare. The main objective of MeDiTATe is the production of high-level scientists with a strong experience of integration across academic, industrial and clinical areas, able to apply their skills to real life scenarios and capable to introduce advanced and innovative digital twin concepts in the clinic and healthcare sectors.

For application to 12 already available ESR positions please visit:
https://euraxess.ec.europa.eu/site/search?keywords=meditate

Post-doctoral researcher in Biomechanics at Uppsala University, specifically numerical analysis of injectable materials for spinal applications

Published: 2020-01-20

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 44.000 students, 7.100 employees and a turnover of SEK 7 billion.

The Division for Applied Materials Science, Department of Materials Science and Engineering, the Ångström Laboratory.

The position is for two years starting as soon as possible. 

Tasks: The overarching goal is to evaluate different implant materials for spinal applications, and in particular their suitability for treatment of vertebrae and intervertebral discs.Mainly numerical methods will be used, such as finite element analysis, although some experimental work also will take place. A natural part of the work lies in reporting results, both in scientific journals and at conferences. The project is funded by the EU, and in particular EIT Health.

Qualifications required: To qualify for an employment as a post-doctor, the applicant must hold a PhD degree or a foreign qualification deemed equivalent to a PhD, and the PhD degree must have been obtained no more than three years prior to the application date; however, for example, periods of sick leave or parental leave are deducted from the three-year period.

For this position a PhD degree in engineering physics, mechanical engineering, biomedical engineering, or similar in nearby subjects, is required.

An interest in numerical modelling is a requirement, and experience in biomedical engineering is an advantage. The ability to lead and advance projects, as well as collaborative skills, is important.

Very good written and verbal skills in English is a must.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

For further information about the position please contact Professor Cecilia Persson, Cecilia.persson@angstrom.uu.se.

Salary: Individually negotiated salary.

Starting date: As soon as possible.

Type of position: Temporary position for two years.

You are welcome to submit your application no later than February 14 2020, UFV-PA 2019/4623. 

In case of disagreement between the English and the Swedish version of this announcement, the Swedish version takes precedence.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University´s recruitment system. More details:

https://www.uu.se/en/about-uu/join-us/details/?positionId=311258

4th ESB Webinar announced: “FEBio, a Nonlinear Finite Element Solver for Biomechanics “

We are delighted to announce the 4th webinar of the ESB Webinar Series which will introduce the FEBio Software Suite. The webinar will take place on March 30th 2020 at 17:00 CET.

This seminar has been co-organised by the ESB and VPHi student committees.


FEBio is a freely-available finite element solver designed specifically for solving problems in computational biomechanics and biophysics. This webinar on the FEBio software project will be focused mostly on new FEBio users and aims to:

  • Introduce FEBio and provide an overview of its capabilities.
  • Introduce FEBio Studio, a new integrated environment for setting up, running, and analyzing FEBio models.

At the end of this webinar, attendees will have learned the basic steps for working with FEBio and FEBio Studio, including how to:

  • Import surface and CAD geometry into FEBio Studio and generate FE meshes.
  • Set up boundary conditions, material parameters, and analysis settings.
  • Run the FEBio solver from within FEBio Studio.
  • Visualize and animate the FEBio results.

The webinar will be conducted by Dr. Steve Maas. He received his Master’s in Physics from the University of Antwerp, Belgium, in 2002 and his PhD in Computing from the University of Utah, USA, in 2017. Since 2005, he has been employed at the Musculoskeletal Research Laboratory at the University of Utah where he has been the lead software developer on the FEBio software project. FEBio is a finite element solver designed specifically for solving problems in computational biomechanics and biophysics. It accomplishes this by focusing on constitutive models, loading conditions, and modeling scenarios that are relevant to these research domains. Steve Maas has also created the PreView and PostView supporting software packages, which are used for pre-processing and post-processing, respectively, FEBio models. He is also the lead on the new FEBio Studio project, which is a fully integrated environment that combines many of the pre- and post-processing and solver capabilities, in a single unified interface.

The seminar will last 45 minutes followed by 15 minutes of Q/A from the audience. You will have the chance to ask your questions which will be addressed by the speaker at the end of the webinar. However, it would be great if you could send your question in advance while filling the registration form or by sending to Ehsan.soodmand@charite.de and/or rodrigo.romarowski@grupposandonato.it  before the start of the webinar.

Click here to register for the webinar.

Please Subscribe to our YouTube channel! (https://www.youtube.com/esbiomech ) and set a reminder for yourself via YouTube (https://www.youtube.com/watch?v=dFsosn8Cn0Y)

Looking forward to your attendance.

ESB Student Committee


VPHi-ESB webinar about “HIGH-THROUGHPUT MULTICELLULAR SIMULATION STUDIES WITH PHYSICELL”


The ESB endorses and co-organise this webinar of the VPHi Keynote Webinar Series will take place on 24 January 2020 at 16 CET featuring Prof Paul Macklin from Indiana University.

Abstract

Multicellular systems are complex, multiscale dynamical systems where cells interact with one another and their environment physically and chemically. To investigate these systems, at Indiana University they developed open source software including BioFVM for biological diffusion and PhysiCell: an agent-based model platform. Prof Macklin will introduce PhysiCell in a variety of problems in cancer, immunotherapy, and engineered multicellular systems. He will also show his plans for a growing, sustainable open source community and software ecosystem, including training materials, automated GUI generation for cloud-hosted models, visualization, extension with molecular-scale models, and more. Finally Prof Macklin will shows how machine learning and high performance computing (HPC) can enhance our investigations to allow high-throughput biological hypothesis testing. 

Prof Paul Macklin

Paul Macklin is a mathematician, Associate Professor, and Director of Undergraduate studies in the recently-established Department of Intelligent Systems Engineering at Indiana University. He works with biologists, modelers, and clinicians to develop and validate sophisticated 3D computer models of cancer and other multicellular systems, using the open source PhysiCell platform developed by his lab. He also works with the National Cancer Institute and the Department of Energy to co-lead a national initiative to create digital twins for the future of personalized predictive cancer medicine.

Registration linkhttps://attendee.gotowebinar.com/register/7839011435273490188

More informations

https://www.vph-institute.org/webinar/high-throughput-multicellular-simulation-studies-with-physicell.html

Professor in Computational Biomechanics – University of Sheffield, UK

Closing date: 07/01/2020
Employer: The University of Sheffield (Department of Mechanical Engineering)
Location: Sheffield

Description

Salary: A competitive salary will be offered in line with the University of Sheffield’s Professorial Pay Scheme: www.sheffield.ac.uk/hr/thedeal/professorial/structure

The University of Sheffield is looking to expand its vibrant Mechanical Engineering community through recruitment to a number of academic positions. They are looking for individuals who will contribute to maintaining a welcoming, inclusive, diverse and inspiring environment for students and whose expertise will complement and enhance our existing research capabilities.
A key part of this role will be developing and supporting staff and students at earlier stages of their careers, meaning we are looking for individuals with a passion for leadership and people development.
You will have a clear idea of your research vision, how this builds upon our current departmental portfolio, and the ways in which it may influence our future direction.
You will be equally passionate about teaching, with a willingness and enthusiasm for accepting and implementing new approaches in this area.
Mechanical Engineering has been a major discipline in the University of Sheffield since its foundation in 1905 and is a thriving department within the University’s Faculty of Engineering. We are one of the UK’s leading departments of Mechanical Engineering, and are home to over 1000 students (Undergraduate, Postgraduate Taught and Postgraduate Research), over 60 academic staff. The year 2020 is an exciting time for you to join our department, as we shall be moving into our new £50m home – the Engineering Heartspace!

The Insigneo Institute for in silico Medicine is known for its cutting-edge research in the development of biomechanics methods for neuro-musculo-skeletal, cardiovascular, respiratory, or urinary pathologies. Insigneo is the largest European research institute dedicated to Computational Medicine, with the aims to realise the scientific ambition behind the Virtual Physiological Human, producing a transformational impact on healthcare. Insigneo performs innovative research in areas of fundamental and applied biomedical modelling, imaging, and informatics.

You will be an internationally renowned academic or senior industrial technologist with experience of delivering high-quality research in Computational Biomechanics. You will have a good first degree and a PhD in a relevant discipline. You will be able to provide effective leadership and you will have excellent interpersonal and communication skills, and experience of developing and delivering high-quality teaching at a variety of levels. Based here in the department you will continue to develop your own academic career, contributing strongly in teaching, research and scholarship that is recognised internationally for its originality, significance and rigour.
Find out more about working in the Department of Mechanical Engineering: https://www.sheffield.ac.uk/mecheng/…k-with-us-2019

How to apply?

To apply visit our job pages (https://www.sheffield.ac.uk/jobs) and search for vacancy number: UOS024690.

Contact details

If you would like to talk to someone informally about this job and the recruiting Department, please contact our Head of Department, Professor Neil Sims n.sims@sheffield.ac.uk 

If you have any administration queries and details regarding the application process, contact Julie Fryer j.e.fryer@sheffield.ac.uk 

If you would like an informal tour of our facilities prior to the formal interview process, please contact our Department Technical Manager: Phillip Pickstock p.pickstock@sheffield.ac.uk 

For more information or queries regarding the areas we are looking to recruit to please contact Professor Claudia Mazzà c.mazza@sheffield.ac.uk.

PhD position at the University of Zaragoza

Position and project

The Biomedical Signal Interpretation and Computational Simulation group at the University of Zaragoza (Spain) seeks a PhD Student to work on the interface between Cardiac Electromechanical Modeling and Artificial Intelligence in the context of ischemic heart disease.

The position is part of the BRAV∃ project funded by Horizon 2020 programme of the European Commission. BRAV∃ aims at providing a lasting functional support to injured hearts through the fabrication of personalized tissue engineering-based biological ventricular assist devices (BioVADs). This ambitious project will combine multimodal deep cardiac phenotyping, advanced computational modeling and biomechanical analysis in a large animal model of disease to create a personalized 3D printable design.

The candidate will work on developing deep-learning neural networks trained on simulated data from large-scale physics-based electromechanical swine models, which is expected to allow obtaining simulated electromechanical data in an efficient way while maintaining accuracy as high as possible. The proposed multidisciplinary approach ultimately aims at contributing to shed light into the interaction between BioVADs and recipient hearts.

Qualifications

Candidates must hold an MSc in Engineering, Mathematics or Physics or similar discipline.

Expertise in computational modeling and/or signal processing is recommended. Strong oral and written communication skills in English are a must. Experience in Python and/or C++ programming is preferred. Previous experience with numerical methods for solving PDEs (e.g. Finite Element Method, Meshless Methods), Artificial Intelligence (e.g., neural networks) and CUDA programming is considered a plus.

The I3A Institute at University of Zaragoza

The Aragon Institute of Engineering Research (I3A), within the University of Zaragoza, comprises more than 500 researchers and a vibrant environment for multidisciplinary research.

Every year I3A participates in more than 300 research projects funded with over 10 M€ and more than 200 contracts with industry with 5 M€ turnover. Around 50 PhD theses supervised by I3A members are defended and nearly 300 papers are published in JCR journals every year. The Biomedical Signal Interpretation and Computational Simulation group at I3A, University of Zaragoza, is a leading expert in the development of signal processing tools to aid in the diagnosis, prognosis and treatment of cardiovascular diseases and conditions. This expertise is combined with modeling and simulation of cardiac electrophysiology to investigate causes and consequences of the phenomena observed from the processed signals.

Application

For additional information about the position, please contact Dr. Esther Pueyo

(epueyo@unizar.es) or Dr. Konstantinos Mountris (kmountris@unizar.es).

Bone Mechanics and Tissue Engineering Workshop in Zaragoza

We are pleased to present you the Workshop “Bone Mechanics and Tissue
Engineering” that will be held the 6-7th February 2020 in Zaragoza
(Spain) (http://curabone.unizar.es/)

Where:

Edificio Paraninfo, University of Zaragoza (Spain)

Who:

•    Scott Hollister – Georgia Institute of Technology and Emory
University (USA)
•    Gwendolene Reilly – The University of Sheffield (UK)
•    Bert van Rietbergen – Eindhoven University of Technology (NL)
•    Michael Skipper Andersen- Aalborg University (DK)
•    José Manuel García Aznar – University of Zaragoza (ES)

Registration form:

The workshop is free. But you need to register before 15th January 2020.
Limited places.
Lunches are not included, only the workshop materials.

Dra. MªAngeles Pérez Ansón

Associate Professor of Structural Mechanics (Profesora de M.M.C. y T.E.)
Mechanical Engineering Dept. (Depto. Ingeniería Mecánica)
Escuela de Ingeniería y Arquitectura (EINA)
Aragón Institute of Engineering Research (I3A)
University of Zaragoza (Universidad de Zaragoza)