254 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" "St" Fellowship research jobs at University of Oslo
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. Sufficient knowledge of Science & Technology Studies (STS), strong interest in the development of STS research both theoretically and empirically, collaboration skills and an ability to work in
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, on the Finnish and Swedish sides of Sápmi. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296686/postdoctoral-research-fellow-on-the-topic-of-repatriation-and-reconciliation
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, and sociocultural and geographical context. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298148/phd-research-fellowship-in-pharmacoepidemiology Where to apply
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on justice in the Nordic countries, which involves conducting extensive surveys and focus groups. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295684/postdoctoral
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. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/297591/postdoctoral-fellowship-in-mental-health-research Where to apply Website https://www.jobbnorge.no/en/available
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interest in the development of STS research both theoretically and empirically, collaboration skills and an ability to work in interdisciplinary academic communities will be an advantage. The successful
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/Anders Lien 10th April 2026 Languages English English English PhD Research Fellowship in Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement About the
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, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based synthetic data generators
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for important physical processes which impact galaxy evolution, such as dark matter models, gas accretion, star formation, black hole formation and evolution, and radiative or mechanical feedback from stars and
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development