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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
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- University of Bergen
- CMI - Chr. Michelsen Institute
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society UiB shall be among Europe's
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Physiology There is vacancy for two PhD Research Fellows in fish physiology with a focus on vision and ecophysiology at the Department of Biological Sciences at the University of Bergen. The positions
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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without research, teaching and supervision obligations. The candidate will apply for admission to the PhD program in Health and Welfare (HELVEL). It is a requirement that the PhD research fellow qualifies
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. For more information and how to apply
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professional environment Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which containsthe skills and knowledge you will acquire Open and inclusive
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who accepts the position applies for and is granted admission to the faculty’s doctoral programme in Systems Engineering within three months of starting in the position. The doctoral programme includes
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-based computed tomography, with numerical simulations informed by microstructural data. The successful candidate will work at the interface between experiments, modelling, and data-driven methods