67 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions in France
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 20 hours ago
innovations, OCTO Technology and the PIMM laboratory at ENSAM are jointly sponsoring this PhD thesis. The research will focus on the application of Physics-Informed Machine Learning (PIML) and Physics-Informed
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, integrating basic research with preclinical and clinical studies. SHIELD offers the opportunity to 16 talented doctoral candidates (DCs) to pursue a PhD within the Network at different universities and
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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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Researcher Profile First Stage Researcher (R1) Country France Application Deadline 10 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2025 Is
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candidate to undertake research in the area of cognitive networking for 5G/6G networks, with a focus area on connected and autonomous mobility. This research will explore how artificial intelligence can be
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detector. The successful candidate will participate to the research activities of the group. Travel to other laboratories of the KM3NeT Collaboration for Collaboration meetings, participation to shifts and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 4 days ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09279 Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will join the
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correlations or more innovative methods of multivariate analysis and we anticipate here an opportunity of using machine learning that could help in predicting properties or classifying sources. A last step will
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-flexible technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a