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Application Deadline 25 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 2 Feb 2026 Is the job funded through the EU Research Framework Programme
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Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop new catalysts (heterogeneous catalysts) and catalytic processes
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Application Deadline 11 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not
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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 ANR VITRISINT
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of Nantes), 1 engineer, 1 postdoc, and 5 PhD students. The team has recognized expertise in liquid xenon TPCs, both for fundamental physics experiments (XENON, DARWIN, nEXO, XeLab, XERD, XLZD) and for medical
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, as well as single cell datasets) already generated within the laboratory, with the aim of extracting novel biological insights through advanced computational approaches. Working environment
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Institute of Metabolic and Cardiovascular Diseases (Toulouse) | Toulouse, Midi Pyrenees | France | 21 days ago
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 project of the LiMitAging team (Lipoprotein
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the Job related to staff position within a Research Infrastructure? No Offer Description The LIG brings together nearly 450 researchers, lecturers, PhD students and research support staff. The position
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multiphysics approach that has not been possible to implement to date. The successful applicant will be joining the ORSYS group. However, the PhD student will be supervised by researchers from the three
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image