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in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in the ocean based on satellite imagery. A key focus will be to develop oil spill
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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deliverables Required selection criteria completed doctoral degree in psychology, developmental science or cognitive science or similar domain training and experience with at least one technical research method
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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observation for oil spill monitoring You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in
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. Significant Advantage: Experience with AI safety concepts, interpretability methods, or a track record of publishing research in academic venues. We are seeking someone who can not only identify problems but
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degree in psychology, developmental science or cognitive science or similar domain training and experience with at least one technical research method for gathering or analyzing data (e.g., eye tracking
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. In the project we will focus on characterization of offshore noise that might impact the DAS data and develop methods for reducing the impact of such noise. Mathematical methods to enhance and ease
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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interface between science and industrial applications, develop and test empirically motivated models and methods and produce knowledge that is both academically rigorous and practically relevant. Duties