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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
: Associate Professor Nurilla Avazov, phone number: +47 62 51 77 20, e-mail: nurilla.avazov@inn.no Head of PhD programme Marit Engen, phone number: +47 61 28 81 07, e-mail: marit.engen@inn.no 2) Sustainable
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employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously been employed in a qualifying post (e.g. research fellow, research
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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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condition of employment that the master's degree has been awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree
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the candidate is admissible to UiA’s PhD programme at the Faculty of Social Sciences , and that the Department of Sociology and Social Work or CeDIT currently has a thematically relevant advisor available
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USN’s PhD-program in Technology within three months of accession in the position. About the PhD-project The build-up of CO2 in the earth’s atmosphere is recognized as the single most important
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Research Fellow available in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as possible and upon individual agreement
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cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden
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may be reduced if you have previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics