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/researchers, 1 research engineer, 1 fixed-term researcher, and 2 PhD students) specializes in the modeling and simulation of phase transitions in materials, notably through phase-field and crystal/quasi
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Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Hold a PhD in
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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 Deep learning models, and in particular large language
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Dec 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 The PhD
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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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genomic data * Apply the statistical model to real datasets The position will be part of a 4-year collaborative project funded by the French National Agency (ANR). The research consortium gathers two
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modelling. Furthermore, better knowledge of these properties helps refining the interpretation of data obtained from both active and passive remote sensing. PhD Topic This PhD project aims to quantitatively
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sciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a highly motivated Research Engineer (preferably with a phd) who is eager to integrate knowledge ranging
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of mice engaged in decision-making tasks. The PhD student will play a central role in modeling the data and transforming it into neuroscientific discoveries. In close collaboration with the experimentalists