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- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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- University of Bergen
- University of Inland Norway
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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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computational methods for bioimaging, and who also wish to teach engineering students. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is
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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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. Admission to the PhD programme in Artistic Research at the University of Bergen is a prerequisite for employment, and the study period begins upon commencement of the position. The PhD Fellow is expected
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of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The workplace is at UiT in Narvik. You must be
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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
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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