47 data "https:" "https:" "https:" "https:" "Central European University" Postdoctoral positions in Norway
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- University of Oslo
- UiT The Arctic University of Norway
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Pharmacological sciences Researcher Profile
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Biological sciences Medical sciences » Health
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Psychological sciences Researcher Profile
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22 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Biological sciences Researcher Profile
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22 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Biological sciences Researcher Profile
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to heat treatments would be of particular interest. Experience with bioprocesses Experience with relevant analytical methods. Experience with data analysis. Industrial experience or experience of conducting
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22 Jan 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Historical Sciences Research Field History » Modern history Researcher
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. For more information about our current research operations and our latest publications (including Patel et al, 2025, Fei et al, 2023; Karttunen et al, 2023; Sahu et al, 2022; Sahu et al, 2021), see https
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ingredients, and medical and laboratory technology. Further information is available on the department’s homepage: http://www.ntnu.edu/iba . Main duties of the position The interdisciplinary nature
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forecasting. Familiarity with ensemble methods, Bayesian approaches, and uncertainty estimation. Experience with large-scale or messy real-world data (structured and/or unstructured). Interest in or experience