206 machine-learning "https:" "https:" "https:" "https:" "The Open University" scholarships in France
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reaction. This study will be carried out in collaboration with the CEA/IRFU and GANIL. The study focuses on proposals accepted at GANIL (https://www.ganil-spiral2.eu/ ) and Legnaro (https://www . lnl.infn.it
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algorithms for asthma. The methods to be employed will include cell culture, transcriptomics, proteomics, multiplex assays, flow cytometry, and machine learning. This project combines expertise in cell biology
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, machine learning techniques, etc.) is desirable. This thesis offer within the AstroParticle and Cosmology Laboratory (APC) is part of the Deep Underground Neutrino Experiment (DUNE). DUNE is an
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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bone regeneration and the treatment of brain tumors Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7342-CECBAR-007/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD
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competition open to students. Details are available on our web site, see below “how to apply”. More than 200 thesis projects are proposed, and the list is available on the website: https://adum.fr/as/ed
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at CNRS in the Institute of Chemistry of Media and Materials of Poitiers (IC2MP - UMR CNRS 7285 - https://ic2mp.labo.univ-poitiers.fr/ ) in the Catalysis and Non-conventional media team, under
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and behaviour of VCP/p97. This work will improve our understanding of how essential protein machines are regulated in cells and may help inform future strategies for selectively targeting proteostasis
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal