36 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions at University of Bergen
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benefits An inclusive workspace at MediaCity Bergen. For more information about moving to Bergen and Norway, please visit https://www.uib.no/en/node/133625/ , and https://www.uib.no/en/hr/74243/what-can
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) to verify whether the education in question (bachelor and master's degree) is of a scope and level that corresponds to the level of a Norwegian master’s degree. Please see https://hkdir.no/en/ for more
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organisations. More information about CET’s research focus can be found on the website https://www.uib.no/en/cet and particularly in the CET Strategy 2023-2026. About the project/work tasks: The PhD fellow is
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upon by individuals, communities, policymakers and organisations. More information about CET’s research focus can be found on the website https://www.uib.no/en/cet and particularly in the CET Strategy
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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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at MediaCity Bergen. For more information about moving to Bergen and Norway, please visit https://www.uib.no/en/hr/74243/what-can-university-bergen-offer-its-employees . Your application must include: A brief
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https://www.uib.no/en/node/133625/ , and https://www.uib.no/en/hr/74243/what-can-university-bergen-offer-its-employees . Your application must include: A cover letter with a brief account of research
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that the master’s thesis has been submitted Relevant certificates/references Any publications in your name Approved documentation of proficiency in English; https://www.uib.no/en/nt/52899/admission-phd-programme
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Learning, Natural Language Processing, Human-Computer Interaction, Digital Health, Endocrinology Secondments (Preliminary Plan): UiB (Norway): 1–2 months — Patient and caregiver interviews, exploration
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-Class Environment: Access to a leading research environment specializing in hardware/software for medical wearables, translational endocrinology, and machine learning for medical time-series. Cutting-Edge