40 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions at University of Bergen in Norway
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There is 2 year vacancy for a Research position at MediaFutures: Research Centre for Responsible Media Technology & Innovation. We are looking for an ambitious and self-motivated colleague to join
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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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a scope and level that corresponds to the level of a Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review from HK-dir may
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to the PhD programme at the Faculty of Science and Technology | Faculty of Science and Technology | UiB We can offer: A good and professionally challenging working environment Salary as PhD research fellow
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: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial Intelligence, Machine Learning, and Natural
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe
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who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for
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of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal
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approaches. Qualifications and personal qualities: Required: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial
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clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital