187 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Fellowship positions in Norway
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, multilevel modeling, event history analysis, or panel data methods. Experience with interdisciplinary research and collaboration across social sciences, health sciences, or related fields. Prior involvement in
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the convergence environment and help coordinate the separate aims and planed work packages. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294703/postdoctoral-research-fellow
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The successful candidate is required to have: completed the doctoral degree (PhD) within the fields of Computer Science or related disciplines, such as Human Computer Interaction, Artificial Intelligence, Music
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completion of a PhD degree. For more information, please see our web site . Qualification requirements Applicants must satisfy the requirements for admission to the faculty´s PhD programme. This normally
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language must be uploaded at Jobbnorge. General information For further details about the position, please contact Associate Professor Morten Øygarden, Department of Informatics, m.oygarden@uib.no, (+47) 909
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and principles of open and reproducible science Desired qualifications Experience working with large longitudinal cohort data and/or data from national registries Experience with clinical intervention
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-experimental methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with Stata, R, or other relevant computing languages Personal skills We are looking
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as a Postdoctoral Research Fellow in Informatics! Shape technology for a sustainable future. Postdoctoral Research Fellow in Sustainable AI and Ecophilosophy Apply for this job See advertisement About
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training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national
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and chemistry laboratory environments. Experience in experimental methods and data analysis, for example diffraction (XRD), microscopy (SEM, AFM), cryogenic measurements, or numerical/data-driven