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Field
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within a research team Record of peer-reviewed publications or manuscripts in preparation Preferred Qualifications Experience with machine learning and deep learning Ability to analyze and interpret
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
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, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming languages Multi-modal image registration and quantitative
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PostDoc (m/f/d) Characterization of creep behavior using
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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automatisé - H/F Ref. : 2026-41487-S2091 Postdoc Post-doctorat - Interaction spin-réseau par simulations ab initio et Machine Learning - H/F Ref. : 2026-41507-S2111 Postdoc Essonne (91) Bruyères-le
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opportunity to work in a world-renowned research environment. Our teams consist of passionate and dedicated experts, providing an environment conducive to learning and collaboration. You will have
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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speed. We are working on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things