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. Place of work is Department of informatics at Blindern, Oslo. Job description Do you want to develop new technology for interpretation of images in the field of geoscience? Improve deep learning methods
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learning methods for cardiac ultrasound can e.g. be used for automatic measurements from image sequences, to assess im-age quality, for clinical applications, or take benefits of recent research results in
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to develop new technology for interpretation of images in the field of geoscience? Improve deep learning methods for multi-modal image data applied to industrial challenges in the energy sector? Contribute
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difficulty levels for exercises. The PhD project will develop methods and solutions to measure and analyse sensor data from stroke patients after their follow-up in specialist healthcare services has ended
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contributing to new advances in deep learning methodology for cardiac ultrasound imaging. Deep learning methods for cardiac ultrasound can e.g. be used for automatic measurements from image sequences, to assess
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the brain as a result of multilingual experience, as well as instructed additional language learning. Work at the center will be theoretically motivated and use a variety of research methods, including
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literature Proposed methods and data Expected contribution Feasibility within the four-year period The project proposal is a key element in the admission to the PhD program (in a second formal step following
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methods, including offline behavioral experiments, eye-tracking, electroencephalography (EEG), and Magnetic Resonance Imaging (MRI). The research will be of practical relevance to current societal
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Educational sciences » Teaching methods Educational sciences » Other Philosophy » Epistemology Philosophy » Ethics Philosophy » Philosophy of science Philosophy » Other Political sciences » Public policy
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the subject area. Reflection material should grant others access to the working methods and insights that the artistic research generates. Applications will be assessed based on the criteria outlined in the program