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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through
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English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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Postdoctoral Fellow (two open positions) in the High Energy Neutrino Group in the School of Physics.
candidates will: First Opening: Assume leading roles in SBND cross section analysis, as well as DUNE slow controls software development and data analysis. The successful applicant will be expected to be based
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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the course of their fellowship period within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one
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of Chemistry which consists of around 25 highly dedicated professors, researchers, postdocs, PhD Research Fellows, engineers, admin, master and exchange students. The group is located in the new Life Science
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. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven ecosystems where interconnected multi-agents interact strategically in
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epidemiology, ergonomics and safety, and occupational health nursing (see https://cohse.umich.edu/research-faculty/research/ ). Highlights include, for example, automation and robotics, autonomous vehicles