306 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in France
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Pyrenees. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5563-YOADEN-001/Candidater.aspx Requirements Research FieldGeosciencesEducation LevelPhD or equivalent Research
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, and optical glasses and fibres dedicated to the mid-infrared. State-of-the-art experimental equipment is part of the Equipex+ 'SMARTLIGHT' platform. Where to apply Website https://emploi.cnrs.fr
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: mariare@mines-albi.fr , nathalie.lyczko@mines-albi.fr Where to apply Website https://institutminestelecom.recruitee.com/o/post-doctorant-ou-post-doctorante-… Requirements Research FieldOtherEducation
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collaboration with LuMIn at ENS Paris Saclay, as part of an ANR contract, with a consortium of six partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214-ALEFRA-001/Candidater.aspx
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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Contact City Paris Website http://www.inserm.fr https://www.ijm.fr/research-topics/ribes-nedelec-lab-va/?lang=en Street 15 rue Hélène Brion Postal Code 75013 E-Mail stephane.nedelec@inserm.fr STATUS
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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, biophysics, and quantitative modeling, and provides strong opportunities for scientific exchange and collaboration at national and international levels. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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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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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process