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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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, along with at least three ideas for academic articles (see below). The successful candidate will be part of the Social Science Faculty’s PhD programme. The work is expected to lead to a PhD in political
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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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, 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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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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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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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 fellow will be part of a growing
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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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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