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                29 Aug 2025 Job Information Organisation/Company CNRS Department Centre de Recherche En Acquisition et Traitement de l'Image pour la Santé Research Field Engineering Computer science Mathematics 
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                Date 4 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A 
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                35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No 
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                must have advanced training in fundamental physics and/or scientific computing, with an ability to handle massively parallel simulation codes and to contribute to their development. Experience with 
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                funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This thesis project, supported 
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                through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Ph.D candidate will join a group of 
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                Positions Country France Application Deadline 15 Oct 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a 
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                Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our institute (LBMC) is located on the Monod site 
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                of participating media. In parallel, neural networks will be designed to approximate the resulting radiation fields, enabling significant reductions in computation time without compromising accuracy. The developed 
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                MontpellierJoint research unit of University of Montpellier and CNRS (\~400 members). The DEXTER team (robotics department) focuses on surgical robotics and parallel kinematics, designing high-performance robots