74 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" uni jobs at CNRS
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d'Electrochimie et de Physicochimie des Matériaux et des InterfacesCountryFranceCityST MARTIN D HERESGeofield Contact City ST MARTIN D HERES Website http://lepmi.grenoble-inp.fr STATUS: EXPIRED X (formerly Twitter
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illuminations," Nature Photonics (2023). https://doi.org/10.1038/s41566-023-01294-x [2] B. Sarri, R. Appay, S. Heuke et al., "Observation of the compatibility of stimulated Raman histology with pathology workflow
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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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City ST MARTIN D HERES Website https://liphy.univ-grenoble-alpes.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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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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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