377 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions in Norway
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% permanent position as Associate Professor in quantitative social science. The position is expected to play a key role in the further development of quantitatively oriented research at the Centre. SPS is a
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programme in Chemistry within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. As an employee at NTNU, it
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of Economics. Duties of the position You will be admitted to the PhD programme at the Faculty of Economics and Management . The main goals are competence building and research training. Your tasks as a PhD
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29th March 2026 Languages English English English Are you motivated to pursue a PhD advancing research on an increasingly important agricultural crop PhD scholarship within plant science Apply
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• Experience with data science and biodiversity informatics, in particular handling of scientific collection data • Solid knowledge of R, python and/or similar programming languages • Experience with
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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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Sciences, and has 75 permanent and 70 temporary members of scientific staff. Degrees are offered at bachelor and master level, plus a clinical training programme, and the PhD programme has 140 students
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the Research Education Board (DGU) at the Faculty of Social Sciences, OsloMet – Oslo Metropolitan University. Upon admission to the programme DGU will assign you a supervisor/supervisors. Preferably, 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