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Extended deadline abstracts World TERMIS 2021

Because of high demand, the deadline for submitting abstracts has been extended to 15 September 2020. Do not miss out on this opportunity to submit your abstract!  

Even though we all live in exceptional and uncertain times due to COVID-19, we confirm that the congress will continue to take place in 2021. We are also planning the possibility to give your talk digitally (more information to be announced soon) in case you are not able to travel to the Netherlands. We have all the measures in place to organize the congress in a safe and COVID-19 proof manner and are exploring high quality digital meeting options. If there is any change, we will update this website accordingly.  

Don’t forget to submit your abstract by 15 September 2020 at the latest!  
More information can be found here: https://www.termis.org/WC2021

The congress theme is ‘biologically inspired technology driven regenerative medicine’. Abstracts can be submitted within the following topics:
Cell sources (autologous & allogeneic)
Biomaterial design & development
Biofabrication
Mechanisms of action
Process engineering
Preclinical & Clinical
Enabling technologies: imaging, modelling, fluidics
Regulatory, Business, Consortia, Patients, SYIS, Sister societies  

Postdoc: Computational modeling of kidney toxin transport @Maastricht University

The department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University in the Netherlands invites applications for a post-doctoral position. The post-doctoral researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to kidney toxin transport in microfluidic set-ups, organoid culture systems and/or bioartificial kidney devices.

Regenerative medicine holds the promise to cure many of what are now chronic patients, restoring health rather than protracting decline, bettering the lives of millions and at the same time preventing lifelong, expensive care processes: cure instead of care. More specifically, at present, dialysis and transplantation are the only treatment options for end-stage kidney disease. In the Netherlands alone, 6,500 people currently depend on dialysis, approximately 1,300 of which will die this year. Regenerative medicine offers an alternative treatment in the form of a bioengineered kidney. As a first step, the partners of RegMed XB will work towards creating a functional subunit of a bioengineered kidney. This functional subunit is the nephron, of which there are approximately one million in the adult kidney. In order to inform the in vitro experiments as well as design a bioartificial kidney as an intermediate step towards a fully bioengineered kidney, this project will use computational models to simulate toxin transport and calculate the flow and geometry requirements for adequate toxin removal in various set-ups: microfluidic, organoid culture systems and bioartificial devices.

More information can be found at: https://www.academictransfer.com/en/294108/postdoc-computational-modeling-of-kidney-toxin-transport/

POSTDOC position at SayFood, Thiverval-Grignon, France: Quantitative ultrasound for the investigation of tongue-food interactions during oral processing.

Context: In the framework of the ANR project QUSToFood (ANR-17-CE21-0004), a postdoctoral position is open at UMR SayFood. QUSToFood proposes to use Quantitative Ultrasound (QUS) methods for the study of texture perceptions resulting from the mechanical interactions between the tongue and the palate during the oral processing of food. These interactions induce the stimulation of tongue mechanoreceptors and enable the continuous evaluation of the mechanical status of food all along oral processing (from introduction into the mouth to the triggering of swallowing in safe and comfortable conditions). QUS are non-destructive, non-invasive and provide real-time measurement which can be employed both in vitro and in vivo, directly on the individual. The method developed in QUSToFood could thus help to characterize potential losses of sensory quality induced by food and agro ecological transitions, or to meet pleasure and health criteria for specific populations such as infants with sensory processing disorders or seniors suffering from swallowing disorders.

Keywords: Quantitative ultrasound; Biomechanics; Rheology; Tribology; Food; Tongue; Oral processing; Texture


Candidate: The ideal candidate must have completed a PhD in the field of physics, mechanics, biomedical or food engineering. Experience and interest in signal and image processing, and in the in-house design of experimental systems would be an advantage. In all cases, the candidate must have a strong interest and aptitude for multidisciplinary approaches, as this project combines biomechanics, acoustics, rheology, tribology, instrumentation, signal and image processing, food science and sensory analysis.

Contract and location: This contract is for 24 months and the start date is flexible, but shall not be later than January 1, 2021. The gross salary will be from 2500€, depending on the number of years after PhD. The project will be carried out in the labs of UMR SayFood located in the AgroParisTech center of Thiverval-Grignon (a short bus ride from the “Plaisir Grignon” train station, which serves the center of Paris in 25 min). The relocation of the laboratories to a new site in Palaiseau is planned for the second half of the year 2022. The work schedule will be adapted accordingly.


Application: The selection process will start immediately and go on until the position is filled. To apply or inquire further, please contact Vincent Mathieu at vincent.mathieu@inrae.fr. Please include a C.V. and a letter of motivation, along with relevant publications and the name of references.

More information can be found here:

8 PhD positions in Intervertebral disc Biomechanics and Mechanobiology – H2020 ITN Disc4All

The European community requires early stage researchers (ESRs) who can work across the boundaries of traditional disciplines, integrating experimental and in silico approaches to understand and manage highly prevalent multifactorial disorders, such as musculoskeletal disorders. The Disc4All training network utilises intervertebral disc degeneration (LDD) leading to low back pain (LBP) as a relevant application for the integration of data and computational simulations in translational medicine, to enable rational interpretations of the complexity of the interactions that eventually lead to symptoms.


LBP is the largest cause of morbidity worldwide, yet there remains controversy as to the specific cause leading to poor treatment options and prognosis. LDD is reported to account for 50% of LBP in young adults, but the interplay of factors from genetics, environmental, cellular responses and social and psychological factors is poorly understood. Unfortunately, the integration of such data into a holistic and rational map of degenerative processes and risk factors has not been achieved, requiring creation of professional cross-competencies, which current training programmes in biomedicine, biomedical engineering and translational medicine fail to address, individually.


Disc4All aims to tackle this issue through collaborative expertise of clinicians; computational physicists and biologists; geneticists; computer scientists; cell and molecular biologists; microbiologists; bioinformaticians; and industrial partners. It provides interdisciplinary training in data curation and integration; experimental and theoretical/computational modelling; computer algorithm development; tool generation; and model and simulation platforms to transparently integrate primary data for enhanced clinical interpretations through models and simulations. Complementary training is offered in dissemination; project management; research integrity; ethics; regulation; policy; business strategy; and public and patient engagement. The Disc4All ESRs will provide a new generation of internationally mobile professionals with unique skill sets for the development of thriving careers in translational research applied to multifactorial disorders.

This PhD project will address 3D modelling of the lumbar spine from medical images. Methods using deep learning and statistical modelling will be developed to segment the lumbar vertebrae and intervertebral disks in 3D MRI sequences and CT image, and provide 3D subject-specific lumbar spine models from 2D medical images (X-rays or mid-sagital MR images) used in clinical practices. Those methods will be used in combination with finite-element-based simulation methods to develop a diagnosis and predictive tool for intervertebral disk degeneration.

Type of contracts: temporary (36 months)
Job status: full-time
Hours per week: See individual job offers
Offer starting dates: Between November 1st, 2020 and January 31st, 2021
EU Research Framework: H2020 MSCA-ITN-ETN
Marie Curie Grant Agreement Number: 955735

More information:

11th BSRT symposium: when hypotheses become clinical reality – Berlin 2-4 December 2020

We are delighted to invite you to join us at the upcoming 11th BSRT symposium!  

Regenerative medicine promises to functionally heal tissues and organs previously thought irreparable, by stimulating the body’s own repair mechanisms. But what exactly has been accomplished by this young branch of translational medicine which was only just defined in the 1990s? Are these promises still hypothetical or are they on their way to becoming clinical reality?

In this year’s symposium, experienced scientists and physicians will not only describe their clinical trials, revealing what has been achieved so far in the development of tomorrow’s personalized medicine, but also talking about possibilities for future clinical translation. Speakers will present the latest diagnostic tools used to predict the healing potential of patients, as well as new regenerative therapies to combat various diseases. In addition, they will show how rehabilitation approaches are tailored to the individual needs of the patient. Early-career scientists still ‘at the bench’ doing basic research will also have the opportunity to present their projects and discuss ideas with the potential to reach the clinics. This year, we looked for inspiration from great thinkers of humanity and decided to let ourselves be guided on this journey by quotations from ancient philosophers. They strove in their own ways for enlightenment and truth to further the well-being of humankind, just like we do in the field of regenerative medicine.

Due to the Corona Pandemic, the 11th BSRT symposium will be a face-to-face event for early career scientists with online keynote lectures given by international experts (Hybrid Symposium). However, in the event of another major lockdown in December, we will organise the event as a full online symposium. So, let us learn from the past and look towards the future of regenerative medicine!  

For further information please visit our website at bsrt-symposium.charite.de.

Post-doc position @University of Pavia: computational mechanical models of soft tissues

We are looking for talented scientists and engineers to join the Synthetic Physiology Lab at the University of Pavia in Italy. Traditional synthetic biologists use DNA parts to program cell function. Similarly, we study how to control tissue function using extracellular matrix (ECM) components. Our first goal is to reverse engineer human heart development in a project funded by the European Research Council and entitled “Synthetic Matrix Biology: Designer matrices to program healthy and diseased myocardial morphogenesis.”


For this project, we are looking for a computational scientist. The ideal candidate will have experience working with mechanical models of soft materials and (dissipative) particle dynamics in synthetic or biological systems. Previous work in the cardiac field, with LAMMPS/Chaste packages, parallel programming (especially if GPU-enabled), or cloud computing is a plus. At the same time, we will be doing things differently than most efforts in this field, so anyone with great scientific programming skills and interested in using particle dynamics to describe cell and tissue mechanics is welcome.

More information in the attachment:

12 PhD positions available in the Disc4All training network

The European community requires early stage researchers (ESRs) who can work across the boundaries of traditional disciplines, integrating experimental and in silico approaches to understand and manage highly prevalent multifactorial disorders, such as musculoskeletal disorders. The Disc4All training network utilises intervertebral disc degeneration (LDD) leading to low back pain (LBP) as a relevant application for the integration of data and computational simulations in translational medicine, to enable rational interpretations of the complexity of the interactions that eventually lead to symptoms.


LBP is the largest cause of morbidity worldwide, yet there remains controversy as to the specific cause leading to poor treatment options and prognosis. LDD is reported to account for 50% of LBP in young adults, but the interplay of factors from genetics, environmental, cellular responses and social and psychological factors is poorly understood. Unfortunately, the integration of such data into a holistic and rational map of degenerative processes and risk factors has not been achieved, requiring creation of professional cross-competencies, which current training programmes in biomedicine, biomedical engineering and translational medicine fail to address, individually.

Disc4All aims to tackle this issue through collaborative expertise of clinicians; computational physicists and biologists; geneticists; computer scientists; cell and molecular biologists; microbiologists; bioinformaticians; and industrial partners. It provides interdisciplinary training in data curation and integration; experimental and theoretical/computational modelling; computer algorithm development; tool generation; and model and simulation platforms to transparently integrate primary data for enhanced clinical interpretations through models and simulations. Complementary training is offered in dissemination; project management; research integrity; ethics; regulation; policy; business strategy; and public and patient engagement. The Disc4All ESRs will provide a new generation of internationally mobile professionals with unique skill sets for the development of thriving careers in translational research applied to multifactorial disorders.

Hiring Institutions:
Hiring Disc4All Members:
• InSilicoTrials (www.insilicotrials.com, See job offer ESR 1)
• Barcelona Supercomputing Center – Centro Nacional de Supercomputación (www.bsc.es – See job offer ESR 2)
• University of Oulu (www.oulu.fi – See job offer ESR 4)
• Galgo Medical (https://www.galgomedical.com – See job offer ESR 5)
• King’s College London (http://www.kcl.ac.uk/aboutkings/index.aspx – See job offer ESR 6)
• Sheffield Hallam University (https://www.shu.ac.uk/research – See job offer ESR 7)
• University of Bern (www.dbmr.unibe.ch – See job offer ESR 9)
• University of Liège (https://www.uliege.be – See job offer ESR 12)


Type of contracts: temporary (36 months)
Job status: full-time
Hours per week: See individual job offers
Offer starting dates: Between November 1st, 2020 and January 31st, 2021
EU Research Framework: H2020 MSCA-ITN-ETN
Marie Curie Grant Agreement Number: 955735

More information:

Post-doc offer @INSERM, Computational Modeling of Aortic Aneurysm Progression

Keywords: mechanobiology, finite-element, constrained-mixture theory, smooth muscle cells.


Academic context: This project will take place at Sainbiose (UMR INSERM-U1059 – Mines Saint-Etienne, France), in a group working in the domain of arterial mechanobiology, in collaboration with vascular surgeons. It is funded by an ERC consolidator grant.


Scientific context: The mechanical response of arterial tissue is a consequence of the arterial microstructure morphology. In the past decade, the different fiber networks (namely the collagen and elastin networks) have been investigated because of their important role in the arterial mechanics. Their maintenance is achieved by different intramural cells (smooth muscle cells, fibroblasts). Our objective is to investigate computationally how the impairment of important biological pathways involved in this maintenance can have dramatic effects on the integrity of fiber networks and lead to an aneurysm and a dissection in the aorta.


Project summary: During the past years, within the ERC project Biolochanics*, our group developed a mechanobiological model of the arterial wall. It can predict the non-linear mechanical behavior of arteries from their microstructure and simulate the growth and remodeling effects using the constrained mixture theory and the concept of maintaining stress homeostasis in the vessel wall. Presently, only the effects of proteolytic injury have been considered as triggers of growth and remodelling. However, recently published contributions show that impairment of mechanosensitivity and mechanotransduction of smooth muscle cells is a major driver of aneurysm development. Using our computational models and existing experimental data in our group, and integrating innovative theoretical developments, the successful applicant will investigate these effects computationally to eventually propose patient-specific simulations of aortic aneurysm progression. He/she will also be in charge of validating the proposed model.


Student profile: background in computational mechanics and mechanobiology. The ideal applicant has motivation for work at the interface between disciplines.


Administrative aspects: This is a 12-month position, renewable, starting 1st October 2020.
If you are interested, please send, via email, a curriculum vitae and a cover letter, to Prof. Stéphane Avril (avril@emse.fr)

*https://www.mines-stetienne.fr/en/research/projects/biolochanics/

Postdoc position – In-silico multiscale analytics for personalized cancer diagnosis @University of Zaragoza

PostDoc position in the frame of a H2020 project: PRIMAGE / PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, empowered by imaging biomarkers (G.A. nº. 826494)

The PRIMAGE project is looking for a highly motivated researcher interested in working in an ambitious multidisciplinary project to work at the University of Zaragoza (Spain). PRIMAGE proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumours, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow up, based on the use if novel imaging biomarkers, in-silico tumour growth simulation, advanced visualisation of predictions with weighted confidence scores and machine-learning based translation of this knowledge into predictors for the most relevant, disease-specific, Clinical End Points.

We are hiring a post-doc with certified experience in other research groups in the following tasks: advance computational simulation of living tissues, Imaging post-processing, management and coordination of research projects.

Deadline for applications: 15th September 2020

https://euraxess.ec.europa.eu/jobs/548404