111 professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Oslo
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externally funded research. TIK also offers postgraduate education; a PhD-programme and two Master programmes. The Centre also hosts OSIRIS - Oslo Institute for Research on the Impact of Science. Apply
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externally funded research. TIK also offers postgraduate education; a PhD-programme and two Master programmes. The Centre also hosts OSIRIS - Oslo Institute for Research on the Impact of Science. Apply
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and technology are employed in different social contexts, and with what social and political implications. The research fellow must take part in the Faculty’s approved PhD program (TIK track) and is
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technology studies (STS). A major part of TIK’s activity is externally funded research. TIK also offers postgraduate education; a PhD-programme and two Master programmes. The Centre also hosts OSIRIS - Oslo
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Social Sciences Apply for this job See advertisement Job description Applicants are invited for a four-year full-time position as PhD Research Fellow at the Centre for Research on Equality in Education
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inhibitors with improved efficacy The project offers a highly interdisciplinary research environment spanning computational chemistry, cell biology, physics, and materials science. The work will leverage GPU
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for Addiction Research Apply for this job See advertisement About the position We invite applications for a PhD Research Fellow position in Computational Structural Biology is available
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training activities. The PhD Fellow will take part in the approved PhD program at the Faculty of Educational Sciences and is expected to complete the project within the set fellowship period. The main
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establishing an experimental research line within Associate Professor Ainara Nova’s research group in the Section for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive
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the Section for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and