272 evolution-"https:" "https:" "https:" "UCL" Fellowship positions at University of Oslo
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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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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a range of biodiversity aspects, such as taxonomy, character state evolution, historical biogeography, phylogenetic diversity, and speciation. Aims with this project are to use new methodologies
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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
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that are relevant to real-world management. BioM is committed to creating a high-quality, supportive environment for the training and development of PhD candidates and postdoctoral fellows, including individually
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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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, 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