31 computer-science-"https:"-"https:"-"https:"-"https:"-"Mathjobs" PhD positions at CEA
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: Master's (M2) or engineering-school student in machine learning, applied mathematics or computer science Strong linear algebra; probability and optimization are a plus Solid Python and PyTorch Care in
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qualifications master student or equivalent (2nd/3rd engineering school year) in computer science and/or machine learning; some knowledge of the Python programming language; ability to work in a team
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arrays. Applicant Profile You are a final-year Master’s or engineering student specializing in electrical engineering, microelectronics, applied physics or computer science. You are comfortable with
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A recognized work-life balance environment A diversity and inclusion policy Corporate catering Applicant Profile With a background in computer science and AI or electronics, you are a problem solver
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Physics, Applied Mathematics, or Computer Science, with experience in deep generative models (VAE, diffusion) and Python/PyTorch. Applications from statistical physicists are welcome. STILL HESITATING
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gaussian representation meets perception models for bev segmentation. In : 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. p. 2250-2259. [3] KERBL, Bernhard, KOPANAS
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Profil du candidat Currently enrolled in your final year of a Master's program (M2) or an Engineering School (including gap year students). Strong skills in computer vision and machine learning
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, doctorants, techniciens et en collaboration directe avec les partenaires du projet. Profil du candidat Doctorat en chimie, physique ou science de matériaux Une précédente expérience dans le domaine du
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) en master (M1 ou M2) ou en avant-dernière ou dernière année d'école d'ingénieur, en data science, mathématiques appliquées, génie nucléaire ou physique. Solides compétences en data science Bonne
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(transitions de phase, coalescence, fissuration, etc.). Couramment utilisées en science des matériaux, elles sont mises en œuvre dans les outils de calcul scientifique de la plateforme logicielle