1,279 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions in France
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Code68100Street11 rue Alfred WernerGeofield Contact City Mulhouse Website https://www.lpmt.uha.fr/ https://www.uha.fr/fr/recherche/doctorat-1/sujets-projets-de-theses-concours-contrats-doctoraux.html Street 11 rue
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Sciences is a plus. The applicant needs to have advanced programming skills in Stata and R. Having already programmed Stata and/or R packages is a plus. Having a GitHub Page is a plus. Fluent in English
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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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the field of frugal or green AI TECHNICAL SPHERE You have a proven experience in frugal, green or low-resource AI Strong grasp of deep learning architectures (CNN, RNN, Transformers, LLMs). Experience in fine
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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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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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of theoretical although both will explore the interfaces between theory and experiment. They will both be hosted by the Quantum Information team (https://qi.lip6.fr/ ) of the Computer Science department (LIP6
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Teaching School: Grenoble INP UGA -IAE School website: https
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Code68100Street12 rue des Frères LumièreGeofield Contact City Mulhouse Website https://www.irimas.uha.fr/ https://www.uha.fr/fr/recherche/doctorat-1/sujets-projets-de-theses-concours-contrats-doctoraux.html Street 12
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets