134 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Bielefeld University •" scholarships in France
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on the flow in soap films and will help us better understand how surface viscosity affects foam drainage, bubble coalescence, and the aging of fluid interfaces. Where to apply Website https://emploi.cnrs.fr
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renewable energy in a dense and usable form. However, the thermodynamic and kinetic barriers associated with CO₂ reduction require the development of high-performance and selective catalysts. The selected
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the MPN team at LAAS-CNRS, which offers a fabrication platform (cleanroom) and an electrical characterization platform (GHz VNA access), along with associated engineering support. Development
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simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
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carried out under high voltage at LAAS to demonstrate the advantages of these new devices. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7073-MICPEF-095/Candidater.aspx Requirements
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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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registered at the MIMME Doctoral School (https://mimme.ed.univ-poitiers.fr/ ). Institut Pprime is a dedicated research unit (UPR) of the CNRS. Its scientific activities span a broad spectrum ranging from
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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking