48 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"ENS" Fellowship positions at University of Oslo
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI
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qualifications: Master’s degree or equivalent in in geomatics, geosciences, computer science/data science/statistics, physics, mathematics, environmental sciences, geophysics or similar. Candidates must
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, environmental sciences, computer/data science or relevant topics in other fields. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral
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Science Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in space science available at the Department of Technology Systems. Preferred
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must hold a degree equivalent to a Norwegian doctoral degree in statistics, applied mathematics, machine learning, computer science, operations research or a similar field. Doctoral dissertation must
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political behaviour with a focus on gender gaps in political-democratic orientations? PhD Research Fellowship in Political Science (3-4 years) Apply for this job See advertisement About the position We are
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exciting project WOW - Waging of War? PhD Research Fellowship in Political Science (3-4 years) Apply for this job See advertisement About the position We are offering one PhD position with specialisation
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in the APPROPRIATE project, focusing on wind power and the licencing system PhD Research Fellow in Science and Technology Studies (STS) Apply for this job See advertisement About the position The
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Fellow in Political Science! PhD Research Fellowship in Political Science (3-4 years) Apply for this job See advertisement About the position We are offering one PhD position in political science. We
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Science (3-4 years) Apply for this job See advertisement About the position We are offering one PhD position with specialisation in either comparative politics, or political data science. The successful