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join a multidisciplinary research team at the interface between physics, engineering, and clinical research, including scientists, engineers, physicians, and PhD students. The position involves close
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26 Oct 2025 Job Information Organisation/Company CNRS Department Astrophysique, Instrumentation, Modélisation Research Field Astronomy Astronomy » Astrophysics Astronomy » Cosmology Researcher
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FieldEconomicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldEconomicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD on the economic modelling of the oil market
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ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
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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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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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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria The candidate should hold a PhD in reactor physics or an equivalent degree. He or she should: - Have a good understanding of
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, particularly using reconstructed human skin models that mimic aging or wound-healing conditions. This work takes place in a multidisciplinary framework combining chemistry, biophysics, and tissue engineering
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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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approaches to model polarization. The aim of the project is to develop methodological tools to characterize and exploit the polarization information extracted from bivariate signals (i.e. two-dimensional