45 phd-studenship-in-computer-vision-and-machine-learning PhD positions at CNRS in France
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an advantage. The position is for three years, with an ideal start date between May 1 and September 1, 2025. The PhD project is focused on investigating spatial vision, appearance and redundancy
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climatic conditions, using machine learning approaches based on isotopic data. SSIAs for δ13C, δ15N and δ34S in dentin collagen and δ66Zn in enamel to reconstruct the evolution of seasonal habitats and the
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Application Deadline 2 Apr 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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biologists, physicists and computer scientists. Your second base will be Alphée Michelot's group at the Mechanobiology Institute of Singapore (MBI) to achieve objective 3. The Michelot group is an expert in
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is funded by the Doctoral School GEET
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The "Institut des Sciences Chimiques de Rennes" (ISCR
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boulevard Raspail, 75006 Paris. - Office specifically dedicated to the ERC team, equipped with a computer, with access to the common facilities and services of the EHESS. Accessible to people with
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The doctoral student will be enrolled in the Doctoral
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multidisciplinary training program for young researchers (PhD candidates) to explore innovative therapeutic strategies for the treatment of chronic pain. The program focuses on using cutting-edge, non-invasive