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learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems. Are you motivated to take a step
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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, and the use of discarding low-quality entanglement (cut-off time). We will use simulation and analytical calculation for doing so. As part of the Doctoral Network collaboration his position includes
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
, within the PRIVATICS team in Lyon, with close collaboration involving CNRS/LIRIS Lyon and Inria Lille (MAGNET Team). The project is funded by INESIA’s initiative on the evaluation of AI. The scientific
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, computer science, interaction design, applied artificial intelligence, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire
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/ Nat. Resourc Department's Website: Summary of Job Duties: The postdoctoral researcher will contribute to high-impact publications, collaborate with a broad network of research and management partners
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. FIRM consists of four substantive research pillars and a work package on knowledge transfer. This vacancy concerns a PhD position within Pillar 3. You will collaborate closely with the PhD candidates in
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to learn Spirit of innovation and creativity Good in time and priority management Ability to work in a challenging and international environment Capacity to work autonomously and collaboratively in a highly
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of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful