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practice of English (level B1 desired) • In-depth knowledge of the Python language • Autonomy, interpersonal skills and ability to work in a team Website for additional job details https://emploi.cnrs.fr
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research in Artificial Intelligence and its ethical, frugal, and sustainable dimensions? Do you have a PhD and a solid experience in research or R&D in AI, with a specific interest in designing models
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-level layer implementations - extend hardware developments to use near-FPGA DDR and HBM memories - create functional demos using networks of interest (Yolo, Resnets, LLMs, ...) - create proof-of-concept
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projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as Alzheimer's and Parkinson's. You will work within a multidisciplinary environment alongside
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its mechanical deformation and response to atmospheric conditions, which remain a major challenge for existing models. The use of neural emulators and differentiable programming techniques opens up new
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of error-controlled biomechanical models in SOFA / FEniCSx / SOniCS for real-time use on AR devices Design of Bayesian neural-network surrogates and graph-based models for tissue deformation and brain shift
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. Participate in project design, - use and develop new methodologies, - carry out experiments, - analyze and communicate results, - write research reports and articles. The candidate will use a wide range of
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Alexis Carlotti. The team comprises 19 members of all statuses. Activities Prepare and install a MOEMS-type micro-mirror array on a coronagraphic bench in visible light, ensuring that it is secure Use
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with renewable energy generation, the utilization of EVs as distributed energy storage through Vehicle-to-Everything (V2X) technologies, and coordinated control mechanisms—such as aggregators—to mitigate
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authority of the MESR. Super-resolution imaging in optical microscopy now achieves nanometric resolution without requiring electron microscopy. However, it currently remains limited to the use of fluorescent