43 assistant-professor-computer-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in France
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This one-year postdoctoral project aims to use multi scale atomic simulation
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Country France Application Deadline 25 Feb 2026 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
project and in particular on consolidating the logical foundations of mathematical proof assistants (http://malinca.org ). It will be located at the IRIF lab in Paris. Travel expenses are covered within
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university. The postdoctoral researcher will work with Professor Dr Janne Fengler on gaining understandings of contexts and processes of learning and teaching. The ideal candidate has substantive interest in
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Realisation of collective and individual academic publications in connection with the research area Assistance in the organisation of the master programme in architecture Assistance in the representation of and
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contribute to the development of leading experimental research in magnetic sensing and spin-electronics-based devices. Main responsibilities: • Develop an original and ambitious experimental research programme
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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We are recruiting a Postdoctoral Researcher to join an internationally funded, collaborative research program focused on Plasmodium falciparum liver-stage infection. The project seeks to identify
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch