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- l'institut du thorax, INSERM, CNRS, Nantes Université
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independently, and solve complex problems, Desirable qualifications: Experience with Vision-Language(-Action) models or physics-informed ML. Experience with GPU programming, NVIDIA Omniverse, Isaac Sim, or other
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14 Dec 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position seeks to develop both
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Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 1 month ago
Devices" ). • Bring various improvements on the synthetic model (vasculature shape / aneurysm / background noise modelling) • Numerical simulations will be performed on a GPU HPC cluster. • Programming in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Department of Electrical and Information
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Background Radiology has taken a central role in the diagnosis and
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) Country United Arab Emirates Application Deadline 24 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Do: Contribute to one or more NESAP workflow projects (https://www.nersc.gov/what-we-do/support-for-scientists/nersc-science-acceleration-program/nesap-for-doudna) using NERSC HPC resources, edge
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tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata