79 computer-science-intern-"https:"-"https:"-"https:"-"BBMRI-ERIC" Postdoctoral positions in France
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organic, organometallic, computational chemistry, and catalysis, all driven by a passion for creating and breaking bonds using organic and organometallic catalysts. Our research focuses on converting
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available1Company/InstituteInsitut des Sciences MoléculairesCountryFranceState/ProvinceGirondeCityTalencePostal Code33400Street351, cours de la LibérationGeofield Contact City Talence Website http://www.u-bordeaux.fr
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cytometry, proteomics, sequencing and a high-performance computing cluster. The LPHI is involved in several local, national and international networks like the University of Montpellier BioHealth Department
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine (LCSB
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24 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Computer science Researcher Profile First Stage Researcher (R1) Application
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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15 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Biochimie et Génétique Cellulaires Research Field Biological sciences Biological sciences » Biology Researcher Profile
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About the LCSB The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Humanities, Education and Social
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, computational mechanics, computer science, applied mathematics or similar Strong experience with deep learning, e.g. PyTorch, JAX, TensorFlow, and probabilistic methods Familiarity with graph neural networks