781 associate-professor-computer-science-"https:" "https:" "https:" "https:" positions in Norway
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, Sociology, Health Economics, Psychology, or another relevant field. Grade point average of A or B on the ECTS scale in the Master’s degree (C may be considered individually). Admission to a PhD programme at
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related openings associated with this project: a PhD fellowship in Informatics (PI: Adín Ramírez Rivera) and a postdoctoral fellowship in the Group for Cognitive Neuroscience (PI: Jørgen Sugar). The
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programme, you must have completed a relevant bachelor's degree (180 ECTS) + master (120 ECTS) , or equivalent education in the fields of human centered technology, art, design, social sciences
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, computer science, cognitive psychology, engineering, or another relevant field Strong academic record and motivation for doctoral research Documented competence in English (written and spoken) Eligibility
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to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee
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associated with this project: PhD fellowships in Informatics (PI: Adín Ramírez Rivera) and in the Group for Cognitive Neuroscience (PI: Jørgen Sugar). In addition, there will be two positions announced in
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advertisement About the position Position as Postdoctoral Research Fellow available at Department of Informatics, University of Oslo. Expected start date 01.09.2026 (flexible) The fellowship period is three years
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at OsloMet ) Admission to the PhD programme Innovation for Sustainability at the Faculty of Technology, Art and Design is a prerequisite for employment in the position. An application for admission to the PhD
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prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in computer science, automation related engineering or equivalent. Your
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associate professor Fredrik M. Røkenes . This PhD fellowship is part of the national AI Centre for the Empowerment of Human Learning (AI LEARN). Artificial intelligence is rapidly transforming how we learn