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((TERAhertz high-sensitivity thermoelectric detector for SENSing and imaging) contract. Absorbing metasurface is a key device of the thermoelectric detector. Where to apply Website https://emploi.cnrs.fr/Offres
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A, Campus Illkirch station) from Strasbourg train station or by car (parking available). Public transportation costs are partially covered. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
). The Laboratory of Economics and Sociology of Work (LEST, http://www.lest.cnrs.fr ) is a joint unit of the CNRS and Aix-Marseille University, specialising in the analysis of work and its various spheres as a
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PRIME (Projet de recherche inter-instituts multi-équipes) interdisciplinary CNRS programme (http://www.cnrs.fr/mi ). The PhD candidate will be co-supervised by Florence Niedergang (Team « Biology of
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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in
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MICADO (the first light instrument of the Extremely Large Telescope). The project provides a collaborative network, engaging with leading experts in optics, astrophysics, and machine learning from
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the postdoctoral researcher will use this apparatus with the support of the laboratory's technical staff. The project is funded by the ANR and EUR NanoX. Where to apply Website https://emploi.cnrs.fr
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center. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7643-FOUMAR-001/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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on quantum light, either usiing "discrete variables" (photon number superpositions) or "continuous variables" (field quadratures) Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9001-LOILAN-007
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform