Sujets de thèses
Ph.D. position in mechanical modeling of the muscle -- MR Elastography and multiscale modeling of the mechanical properties of the skeletal muscle
The mechanical behavior of muscle tissue under mechanical loading is the result of active and passive mechanisms within their constituents and at interfaces, as well as the arrangement of these constituents. One of the most efficient ways to describe the overall behavior of a muscle structure through the different scales of its components is to model the tissue by finite element modeling including a mechanical law with multi-scale parameters by homogenization methods. An innovative link between microscopic experimental mechanical properties (by tensile tests) on isolated ex vivo muscle fibers and macroscopic mechanical behavior of the muscle in vivo at the millimeter scale (in vivo imaging by Magnetic Resonance Elastography - MRE) will be proposed. This link will be made through the development of an anisotropic macroscopic Numerical Finite Element Model of muscle tissue integrating a mechanical law taking into account the distribution of muscle microstructures as well as the mechanical laws of each of the constituents allowing the homogenization of the fibrous microstructures of muscle tissue (identified experimentally). Thus, the successful candidate will have to: 1) Set up a homogenized anisotropic mechanical behavior law of the muscle tissue; this law will have to make the link between the microscopic mechanical properties of isolated muscle fibers and macroscopic mechanical properties of muscles isolated from mice with the mechanical behavior in vivo measured by magnetic resonance elastography. (2) Implementing this law of behavior in a finite element model of skeletal muscle. (3) This modelling of the micro-macro links will finally be used by the candidate for application to the elucidation of the role of the KLF10 gene on the development of the musculo-tendinous system via a preclinical study on mice by MRI. This work will include a stage of development of muscular MRE on small animal (7T) MRI (animal model lacking the KLF10 gene).
This multidisciplinary subject requires skills in both biology / physiology but also in the laws of mechanical behavior applied to living organisms and their identification on experimental in and ex vivo measurements. The selected candidate should have a strong taste for these different experimental and numerical disciplines. The knowledge of Matlab is essential. As for any research project and considering the international collaboration proposed, a very good command of English is essential. Starting time: September 1rst, 2020
The thesis is in collaboration between the BMBI (UTC Compiègne) and ICube (University of STrasbourg, France) and will be co-directed and will take place between the two laboratories.
For applying send the following documents:
- Cover letter
- Grades of Master
Ph.D. position in Magnetic Resonance Imaging -- MR Elastography and Thermometry for the monitoring of thermal ablations
The interventional MRI group is looking for a skilled PhD candidate in MR Physics on the following subject: MRI monitoring of temperature and mechanical properties during thermal ablations. This work will be conducted in collaboration with Siemens Healtcare, and PhD should start on October 1st 2019.
Strasbourg hospital is a leading center in clinical interventional MRI. Our team has a strong collaboration with Siemens Healthineers in interventional MRI. We have access to state-of-the art 1.5T interventional MRI scanners for clinical and preclinical studies, equipped with MR compatible Hifu, laser and cryoablation systems.
The candidate should have a MS degree in engineering or in applied physics. He/She should want to work in a highly biomedical environment and should have excellent general scientific skills ranging from basic physics to programming.Applicants should send their resume, motivation letter, cover letters and master's grades
Detailed project and contact information can be found HERE http://icube-avr.unistra.fr/en/img_auth.php/8/8a/PhD_MRE_MRT_Strasbourg_Siemens.pdf
Offer is opened until the position is filled in, no latter than October 1st 2019.
Open PhD Position in Computer Vision/Deep Learning for Healthcare Sponsored by Intuitive Surgical
The operating room is a high-tech environment in which the surgical devices generate a lot of data about the underlying surgical activities. Our research group aims at making use of this large amount of multi-modal data coming from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical workflow. In this context, we currently have a new PhD position at the University of Strasbourg that will focus on developing machine learning and computer vision methods to understand the scene of the operating room, recognize the human activities, and analyze the workflow. The project will use as input multi-view RGB-D videos capturing surgical activities.
As this PhD position is funded by a fellowship from Intuitive Surgical, the successful candidate will have the opportunity to interact with researchers from Intuitive Surgical and also to conduct internships at the company in Sunnyvale, California.
More information is available here
Thèse en Imagerie par Résonance Magnétique (IRM) - Elastographie et Thermométrie pour le contrôle des ablations thermiques
Le groupe d'IRM interventionnelle recherche un/e candidate/e motivé/e avec une formation en physique de l'IRM et en mécanique ondulatoire afin d'effectuer une thèse intitulée: Suivi par IRM de l’évolution de la température et des propriétés mécaniques lors des ablations thermiques
L’environnement IRM pour ce projet est exceptionnel, avec notamment l’accès à deux systèmes d’IRM identiques (préclinique et clinique), et une collaboration directe sur ce projet avec Siemens Healthcare. Strasbourg, capitale européenne, est une ville étudiante dynamique qui offre un excellent cadre de vie. La 1ère ville cyclable de France est située à 1h en voiture des Vosges pour la randonnée ou le ski, et à 1h45 en train de Paris.
Une description détaillée du sujet ainsi que les informations de contact se trouvent dans ce fichier ICI
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