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educational system Fluent oral and written communication skills in English Desired qualifications: Relevant experience in marine technology and AI will be advantageous Knowledge about high performance computing
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the upper segment of their class with respect to academic credentials. Required qualifications: Applicants must hold a Master's degree or equivalent in informatics, computer science, biomedical engineering
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the Workplace Apply for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and Private Sectors (INSEPP) , invites
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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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, 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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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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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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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