175 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions in France
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, which has around 20 members (including a dozen doctoral students and fixed-term contract researchers) conducting research in the fields of mass spectrometry and optical spectroscopy. Candidates should
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month 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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FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria A PhD in astrophysics, astroparticle physics, or high-energy physics is required. The candidate must be proficient in
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3 Oct 2025 Job Information Organisation/Company CNRS Department Institut de recherche sur les céramiques Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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Research Infrastructure? No Offer Description The PhD will take place at LAMIH-UMR CNRS 8201, Université Polytechnique Hauts-de-France, Valenciennes, France. It is part of the JCJC ANR TeCAPE project
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months at the University of Bayreuth (Germany). Furthermore, a varied pedagogical training programme will be offered to the successful candidate throughout the 3-year PhD project. Company description
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30 Sep 2025 Job Information Organisation/Company Inserm Department hérault Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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reference in the world of research and development, as well as for the general public. The candidate will carry out a research activity, essentially experimental, with the aim to obtain a PhD degree of the
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ISMO is located in a new building on the Saclay plateau. The PhD student will benefit
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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