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to staff position within a Research Infrastructure? No Offer Description PhD Position in Physics-Informed Machine Learning for Cardiac Magnetic Resonance The CMR Zurich group at the Institute
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with the centre’s user partner Kongsberg Satellite Services (KSAT). We are therefore seeking someone with a strong interest and competence in deep learning. Working environment: The project will be done
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis
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, and ecological plant physiology. Students acquire advanced methodological approaches and participate in international scientific cooperation through scientific meetings and internships at foreign
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Machine Learning. Profile of the graduate The graduate displays deep theoretical knowledge in molecular and cell biology, genetics and virology, with focus on some specific branch of these scientific fields
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on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability
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possess a PhD or be close to completion of a doctorate in accounting from an AACSB accredited University. The ideal candidate is expected to conduct high-quality research, teach both undergraduate and
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, anthropology, sociology and political science. The successful PhD applicant will be a member of the Centre for Business and Development Studies (CBDS). Please see: https://www.cbs.dk/en/research/department
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or a Scandinavian language is also beneficial. The following are considered beneficial: solid theoretical background in robot perception and navigation deep foundation in modern machine learning solid
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, Mechanical), Computer Science, Applied Math/Statistics, Physics—or related. Candidates who will graduate in the near future are also welcome to apply. Strong foundation in machine learning/deep learning and