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is part of the ERC-funded 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
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. The project is supervised by Associate Professor Ulysse Côté-Allard at the Department of Technology Systems, University of Oslo, whose research focuses on the development of machine learning algorithms
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position in Continuous Experience Recognition for Distributed Co-Creative Immersive Systems, available at the Department of Informatics as a member of the MishMash Centre for AI and Creativity. Starting date
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or equivalent in statistics, mathematics, machine learning, computer science or a similar field Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
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research fellow will work closely with Professor Cara Bailey and Dr Katharine Weetman at the University of Birmingham in collaboration with the wider research team in the College of Medicine and Health
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experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language
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documentation must be in English or a Scandinavian language. UiO/ Anders Lien via Unsplash UiO/ Anders Lien Contact information Professor Andreas Carlson, phone: +47 22 85 72 23, web: https://acarlson
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please contact: Associate Professor Elise Wright Knutsen [email protected] For questions regarding Jobbnorge, please contact HR Adviser Elin Thoresen [email protected] Apply for this job
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political science and be proficient in conducting quantitative analyses. Experience with computational text analysis and large language models is an advantage but not a requirement. Knowledge in comparative
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, aiming to secure rights to research results a.o. Contact persons Professor Andreas Carlson Web: https://acarlson-uio.github.io Email : [email protected] For technical questions related