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Sensing and Forecasting for Arctic Operation), as well as with other project partners (Bergen Offshore Wind Center, Norwegian Polar Institute, and Norwegian Meteorological Institute). Admission to the PhD
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Torbein Kvil Gamst 28th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in the intersection of information theory and deep learning Apply for this job See
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available at the Department of Physcis and Technology , Faculty of Science and Technology The SFF Integreat announces one vacant PhD position in the intersection of the research topics information theory and
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our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying
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of cold adaptation at the atomic level. These groundbreaking results have however up to this point never been validated experimentally. In the current project we aim to bridge the gap between theory and