576 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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change everyday life. Department of Information Security and Communication Technology Research is vital to the security of our society. We teach and conduct research in cyber security, information security
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the health services. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290397/phd-candidate-in-medicine… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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an agent-based computer model of decision-making in social ecological systems, and part of the work be working with stakeholders to refine the tool and test out a range of uses for it. The Research
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, currents, water levels, wind, and ice. Machine learning models will be developed to forecast future variations in such dynamic conditions and to incorporate the operational state of the vessel into routing
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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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therapeutics. For more details see this review: https://doi.org/10.1016/j.trecan.2022.09.001 Please get in touch if you don’t have access to the review. The candidate will: Perform Oxford Nanopore sequencing
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are experienced, communicated and acted 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
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find more information about the research group here: https://www.med.uio.no/klinmed/forskning/grupper/kardiovaskular-crg/ The PhD candidate will be funded by the K. G. Jebsen Centre for Cardiac
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, and relevance for the AI centre and Work Package 2. The department will host an online orientation meeting for the position 8 January 2026 at 14.00 hrs (CET). Participate at: https://uib.zoom.us/j