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). Knowledge : PhD in ecological modelling, statistics, mathematics, geographical projections. Fluency in English (written, read and spoken). Transverse skills : Project management, Methodology and analytical
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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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PhD student to work on an ERC Starting Grant project under the direct supervision of Dr. Leonie Koban. The thesis project aims at better understanding the brain mechanisms of social context effects
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are seeking a young researcher (M/F) in geomicrobiology (PhD-level position) in Marseille, France, to work on the European Research Council funded Starting Grant project 'SIESTA: The Role of Microbial Dormancy
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09322 Is the Job related to staff position within a Research Infrastructure? No Offer Description Context. This PhD thesis is part of
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using imaging, proteomics and biochemistry. Supervision and training. Expected skills: General knowledge of chemistry and biology, basic concepts in mathematics, statistics and physics. Health and safety
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groups, each of which proposes a multi-disciplinary approach, at the frontiers of biology, physics and chemistry, in coherence with 3 research axes. Nearly 320 people work at IBS as researchers, PhD
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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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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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a