1,199 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in France
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as part of this postdoctoral position. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-CAMBAK-004/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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at the crossroads of AI, machine learning, bioinformatics and genomics, and in developing new methods rather than just applying existing ones, we'd like to hear from you. Website for additional job details https
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Description CNRS offers a 18-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus interactions
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, and Adrian Vladu. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8243-MELGOD-010/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research
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of results Knowledge : Drosophila biology and maintenance, longevity experiments, survival data analysis Where to apply Website https://rubis.univ-spn.fr/offres/voir/215 Requirements Specific Requirements
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details on Galaxie website. https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ATERListesO… to open the PDF file. Please note that to apply all the Job vacancies published by GALAXIE - Ministère
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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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. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-postdoctoral-researcher-in-geotech… Requirements Research FieldGeosciences » GeologyEducation LevelPhD or equivalent Skills
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical