195 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Fellowship research jobs in Norway
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- University of Oslo
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- NTNU Norwegian University of Science and Technology
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development (e.g., on dissemination and presentation skills, op-ed writing, and stress-management). Financial and practical support for international staff moving to Norway (https://www.uio.no/english/about
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to the successful completion of a PhD degree. For more information, please see our web site: https://www.uv.uio.no/forskning/phd/ The appointed candidate will be part of a dynamic and interdisciplinary research
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practical support for international staff moving to Norway (https://www.uio.no/english/about/jobs/ismo/) (international staff may also benefit from tax cuts in their first years) How to apply How to apply
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development (e.g., on dissemination and presentation skills, op-ed writing, and stress-management). Financial and practical support for international staff moving to Norway (https://www.uio.no/english/about
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research fellow, research fellow, research assistant and resident - University of Oslo (uio.no) (https://www.uio.no/english/about/regulations/personnel/academic/regulations-employment-conditions-postdoc.html
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terms and conditions of employment for the posts of postdoctoral research fellow, research fellow, research assistant and resident - University of Oslo (uio.no) (https://www.uio.no/english/about
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opportunities as part of your role in a strong professional environment Salary NOK 690 000 (code 1352) in the state salary scale. (Applicants with specialist training must include a certificate of specialist
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position as a PhD Research Fellow (position code 1017) is available as part of the project (HARZOTROPH) “Denying Harm? Neocolonial Conservation through Trophy Hunting and Zoos”, funded by the Research
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; investigate climatic, topographic and land-use drivers of willow expansion; develop spatially explicit projections of future vegetation change; manage and document research data and code according to FAIR data
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oral and written presentation skills in English Demonstrated competence in developing and applying machine learning methods (e.g. publications, open source code) Preferred selection criteria Experience