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to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus
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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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25 Sep 2025 Job Information Organisation/Company CNRS Department Institut de Chimie des Substances Naturelles Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 15 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours...
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Contexte : Situation de l'emploi et conditions : The PhD project is associated with the Paris RÉUSS-I project: inteGREEN, funded by ANR France 2030 PEPR Ville Durable et Bâtiment Innovant (VDBI). inteGREEN
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and guide policy insights; ● Publishing methodological and applied findings, and presenting at international conferences. Your PhD will thus lie at the interface: you'll not only build mathematical
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. These phenomena are based on the description of a complex flow formed by particles suspended in water, whose solid concentration is controlled both by soil erosion and by particle sedimentation processes
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to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will take place at the Institut Lavoisier de Versailles (ILV), a
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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geographically dependent fossilized-birth-death model. 3) To enhance spatial birth-death processes such that speciation, extinction, fossilization and dispersal events emerge from population level dynamics