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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
Framework Programme? European Union / Next Generation EU Reference Number 2026-10273 Is the Job related to staff position within a Research Infrastructure? No Offer Description Horizon Europe project IRE
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Qualifications This position requires a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging, Computational Biology, or a closely related field. Research Record: A strong
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sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer
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to cutting-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging
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, dielectric stability, and breakdown to guide topology selection, dv/dt management, and modulation, validated on a down-scaled prototype. Where you will work You carry out this position at TU/e Eindhoven within
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interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science, urban analytics, geoinformatics, or a related field
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unprecedented precision. - Procedures on rodents, such as: stereotactic brain surgery, cochlear injections, tissue sampling, tagging, etc. - Immunohistochemistry - Confocal imaging - Image analysis and 3D
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution