104 Computer-Science-"https:" "https:" "https:" "https:" "https:" Fellowship research jobs in Norway
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the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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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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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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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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credentials. Required qualifications: Applicants must hold a Master's degree or equivalent in informatics, computer science, biomedical engineering, electrical engineering, human-computer interaction, or other
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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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at the University of Oslo. The place of work is Department of Informatics at Blindern, Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in
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collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate