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administration as well as in the research and education sector. The Department of Mathematical Sciences is one of seven departments in the Faculty of Information Technology and Electrical Engineering . Apply
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applications for position as PhD Research Fellow in Adaptive AI Environments for Biofeedback and Motor Learning available at Department of Technology Systems (ITS), University of Oslo. Expected start date
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appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Department of Technology Systems at Kjeller, Lillestrøm. Job description The Martian atmosphere is a
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, mathematics, music/media technology, electrical/electronic engineering, cybernetics, robotics or other field relevant for the position Foreign completed degree (M.Sc.-level) corresponding to a minimum of four
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English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements
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the qualification of the applicant and the current needs of the department. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is Department
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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
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to academic credentials. Required qualifications: Master’s degree or equivalent in informatics, computer science/engineering, mathematics, music/media technology, electrical/electronic engineering, cybernetics
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oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd