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exciting opportunities for machine learning to address outstanding biological questions. The postdoc to be recruited will be working on the development of machine learning methods for single-cell data. In
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, background in black-box optimization and machine learning are a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7606-CARDOE-006/Default.aspx Work Location(s) Number of offers
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. Specific Requirements Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • bio-inspired computing; • research methodology (literature review
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programming, CAD or generative design tools, knowledge in crystal plasticity, continuum mechanics, additive manufacturing, data science, and machine learning. Additional comments More information about the
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machine learning approaches, and genetic approaches to manipulate the expression of candidate genes in microglia in vivo. The project capitalizes on a cell-therapy recently developed in the team, which
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24 Feb 2025 Job Information Organisation/Company Toulouse INP Department IRIT Research Field Computer science » 3 D modelling Engineering » Computer engineering Researcher Profile First Stage
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-08624 Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoc offer is a collaboration
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13 Feb 2025 Job Information Organisation/Company Ecole Centrale de Nantes Research Field Engineering » Geological engineering Engineering » Computer engineering Engineering » Computer engineering
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Brain Barrier (BBB), CNS Drug Delivery, Brain Shuttles, Brain Imaging, Medicinal Chemistry, Computational Science, Artificial Intelligence (AI), Machine Learning. MAIN SUB RESEARCH FIELD OR DISCIPLINES1
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in developing and applying niche models, and population models. Experience with machine-learning will be considered as a plus. Knowledge of paleogenomics, population genetics and isotope geochemistry