389 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at CNRS in France
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17 Jan 2026 Job Information Organisation/Company CNRS Department Centre de Recherche Paul Pascal Research Field Chemistry Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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10 Mar 2026 Job Information Organisation/Company CNRS Department Institut de Biologie Valrose Research Field Biological sciences Medical sciences Pharmacological sciences Researcher Profile
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28 Mar 2026 Job Information Organisation/Company CNRS Department Institut des Nanotechnologies de Lyon Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1
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15 Jan 2026 Job Information Organisation/Company CNRS Department Centre Interdisciplinaire de Nanoscience de Marseille Research Field Chemistry Biological sciences Pharmacological sciences
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criteria The candidate should hold a PhD in computational chemistry, materials science, or a closely related field, with strong experience in DFT calculations (preferably periodic systems) and familiarity
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2 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'océanographie physique et spatiale Research Field Mathematics History » History of science Researcher Profile Recognised
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25 Mar 2026 Job Information Organisation/Company CNRS Department UMR-Institut de physique du globe de Paris Research Field Geosciences Astronomy Environmental science Researcher Profile Recognised
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2 Apr 2026 Job Information Organisation/Company CNRS Department Archéologie et archéométrie Research Field History Anthropology Environmental science Researcher Profile First Stage Researcher (R1
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website