75 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs at CNRS in France
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: The ideal candidate should have: * Knowledge of machine learning, especially neural networks or graph neural network or federated learning. * Strong mathematical and algorithmic background (optimization
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time scales. To do this, we will build on a landscape picture of stochastic gene expression dynamics inferred from data using modern machine learning techniques. The results will inform us about how
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resources of CESAM, including its Machine Learning and Deep Learning hub, • close collaborations with ONERA. The successful candidate will work in a multidisciplinary environment bringing together researchers
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not only in Montpellier but also nationally and internationally. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5253-VINLAD-007/Default.aspx Requirements Research FieldChemistryEducation
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MPC combining continuous controls (curtailment, storage) and discrete topology switching. • Develop scalable solvers and heuristics (relaxations, decomposition, learning-assisted policies) for near-real
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of Higher Education and Research (MESR). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5798-FABPIS-018/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire des Sciences du Climat et de l'EnvironnementCountryFranceCityST AUBIN Contact City ST AUBIN Website http://www.lsce.ipsl.fr
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obtain molecular orientation images of fluorescent or auto-fluorescent molecules, or those exhibiting SHG at a rate of several images per second. We will demonstrate the instrument's usefulness
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motivation letter to wolfgang.bacsa@cemes.fr and emmanuel.soubies@cnrs.fr . A formal application must also be submitted via the https://emploi.cnrs.fr/CNRS portal. However, we strongly encourage prospective
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Infrastructure? No Offer Description This project is part of the European Commission Marie Sklodowska-Curie (MSCA) Doctoral Network GRAIL “Gamma Radiation from the Atmosphere for Investigation and Learning” https