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considered and explicitly assessed. Rules for appointments to associate professorships. https://www.uio.no/english/about/regulations/personnel/academic/rules-appointment-professor.html Rules for the assessment
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: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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of statistical theory and methods and core machine learning methods. Documented Python programming skills. Excellent skills in written and oral English. The candidate's research proposal must be closely connected
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Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application
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SINTEF Ocean; FME Martrans https://martrans.no/ and the Norwegian Maritime AI Centre https://www.ntnu.edu/mai The research is foreseen to focus on fluid-dynamic properties of the different sail types
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for changes in your work tasks after appointment Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307999/phd-research-fellow-in-gr… Requirements Research FieldTechnology » Environmental
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computational workflows and statistical tools (R, Python, Bash). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you do not already have
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skills will be considered an advantage: Natural Language Processing; LLMs; R; Python. Experience with teaching and supervision will be considered an advantage. Very good skills in Norwegian or other
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of battery materials in addition to the advanced knowledge in X-ray based characterization techniques. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/305695/researcher-in
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, such as longitudinal data, registry data, electronic health records, cohort data or trial data. Strong programming skills in R, Python or equivalent scientific computing languages. Strong R skills