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. The position is for a fixed-term period of 3 years with the possibility of a 4th year with career-promoting work (e.g. teaching at the Department). The position is subject to financing by the University
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. Information about employee benefits at the UiO can be found here . Formal regulations Please see the guidelines and regulations for appointments to Doctoral research fellowships at the University of Oslo
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| UiB See documentation requirements for language qualifications: http://www.uib.no/en/med/115526/english-language-requirements-phd-admission About the PhD position (applies to university PhD positions
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for this job See advertisement About the position Faculty of Environmental Sciences and Natural Resource Management (MINA) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position in
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position One full-time (100%) position is available at the University of Agder, Faculty of Social Sciences as a PhD Research Fellow in Digital Sociology/Sociology of Artificial Intelligence, affiliated with
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of Culture, Religion, Asian and Middle Eastern Studies (IKOS), University of Oslo . IKOS comprises five sections covering cultural history and museology, the study of religion, and language-based Asian and
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to the Department of Education, Faculty of Educational Sciences, University of Oslo. The position will be connected to the research environment for studies in higher education and work, currently named HEDWORK
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/infomedia/ai Applicants are required to familiarize themselves with the research profile of at least one of the InfoMedia research groups About the LEAD AI fellowship programme LEAD AI is the University
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of Science and Technology as part of the in-kind from the University of Bergen (UiB) to Norwegian Centre for Hydrogen Research (HyValue ), a Norwegian Centre for Environment-friendly Energy Research (FME
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Testing Service. Minimum result: 6.5 Certificate in Advanced English (CAE) or Certificate of Proficiency in English (CPE) from Cambridge University PTE Academic – Pearson Test of English Academic. Minimum