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of Research ExperienceNone Additional Information Eligibility criteria Knowledge: PhD in Neuroscience In-depth knowledge of neurophysiology Mastery of in vivo recording techniques in rodents Strong knowledge
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
candidate will join the Inria centre of the University of Lille and be part of the LOKI research group, specialized in Human-Computer Interaction. It is affiliated with the CRIStAL laboratory (UMR 9189) and
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18 Nov 2025 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Department of Computer Engineering Research Field Engineering » Control engineering Researcher
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» Chemical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in computer sciences or chemical engineering Cover letter, research summary and CV Strong skills in optimization and programming
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. Possible contribution to the supervision of Master and PhD students. Communication of results in high-impact scientific journals and international conferences. Laser frequency stabilization onto atomic vapor
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specialized training and mentoring and will be integrated into the project network. A personal computer will be made available to the researcher Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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ExperienceNone Additional Information Eligibility criteria - PhD in theoretical chemistry or theoretical physics, with experience in methodological developments is a plus. - Solid knowledge in electronic structure
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-EHESS, located in Paris in the 6th arrondissement. CAMS is a multidisciplinary research unit bringing together mathematicians, physicists, computer scientists and researchers in cognitive and social
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/Qualifications Candidates must have obtained their PhD in computer science or electronics with a specialization in embedded systems or hardware design within the last three years. · Solid background in
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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