428 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Norway
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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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practical information about working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted
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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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at the department. We can offer: Exciting development opportunities as part of your role in a strong professional environment Salary NOK 690 000 (code 1352) in the state salary scale. For applicants with a
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cultural offers The salary for the position is in accordance with the Basic Collective Agreement for state employees and OsloMets pay policy for Research Assistant in code 1020, corresponding to 527 000 NOK
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Salary in accordance with the Norwegian State salary scale for PhD research fellows (position code 1017) NOK 550,800. In special cases, code 1378 may be used. Any further increases in pay grade will be
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environment with ambitious colleagues [The opportunity to take Norwegian language courses] Salary in accordance with the Norwegian State salary scale for PhD research fellows (position code 1017) NOK 550,800
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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