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with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in computer science, statistics, data science, mathematics, or related field Foreign completed degree (M.Sc
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capabilities in one or more of the following topics: Signal processing Physical/geophysical modelling Computer science Geohazards Waves and fields Material science In the assessment, the emphasis is on
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information for two referees. One of these should be the main advisor from the PhD programme. CV relevant certificates/references list of any works of a scientific nature (publication list with links
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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training must be submitted no later than two months after taking up the position, and the admission approved within three months. For more information about the programme, see: http://www.mn.uio.no/english
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) for Future Distribution Networks. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme
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intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group. Starting date as soon as possible/by agreement. The fellowship period is three (3
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the admission approved within three months. For more information about the programme, see: http://www.mn.uio.no/english/research/phd/ UiO/Anders Lien via Unsplash UiO/Anders Lien Qualifications
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. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research
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the new national centre against violent extremism (Nasjonalt innsatssenter mot voldelig ekstremisme (NIVE): https://arkivet.no/nasjonalt-innsatssenter-mot-voldelig-ekstremisme/ ), located in Kristiansand