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the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree or equivalent in statistics, mathematics, machine learning, computer science or a similar field
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. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Biosciences, Fisheries and Economics and participate in organized
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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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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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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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at least three ideas for academic articles (see below). 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
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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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