704 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in Norway
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background in computer programming Strong background in relevant mathematical modelling Experience with interdisciplinary work A keen interest in natural history, nature conservation, science and society Grade
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to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Humanities, Social Sciences and Education Operations and participate in
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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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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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 candidate will be to: conduct high quality research take part
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Social Sciences Apply for this job See advertisement This is Nord University Would you like to help create knowledge that makes a difference? At Nord University, we develop future solutions through
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-erklæringen var sist oppdatert 23.02.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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of Informatics. Starting date as soon as possible.The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be extended for either
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cookie and refresh page to watch video, or click here to open video) About the position Distributed machine learning takes advantage of communication and distributed computing to utilise distributed data