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Field
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position The Department of Plant Science, Faculty of Biosciences at the Norwegian
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization
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of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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conferences. You will have access to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career
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, cell biology, time-lapse microscopy and single cell analysis. You will work in a dynamic and highly interdisciplinary team including computer scientists, experimentalists and clinicians. You will be
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: civil engineering, transport engineering, computer science, intelligent transport systems, and transport, with an affinity for health, or biomedical engineering or related health degree and an affinity
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considered a plus. Interest in pursuing a Ph.D. study program will be also valued. Selection process Selection criteria: C1 - Curriculum vitae/Academic evaluation (60%); C2 - Suitability of the candidates
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other