158 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Norway
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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 en oversikt over besøkene dine på
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advanced computational methods. Knowledge of c++ program-ming language is particularly desirable Experience with supervising Bachelor/Master/PhD students Strong track record relative to the career stage
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, as well as related fields. Qualifications and personal qualities The applicant must hold a Norwegian PhD or an equivalent degree within Computer Science or Mathematics. PhD-students may apply
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flow Experience with ice texture formation Skills in advanced computational methods. Knowledge of c++ program-ming language is particularly desirable Experience with supervising Bachelor/Master/PhD
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to the qualifications listed above. the names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV transcripts and diplomas and official confirmation
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activity of new inhibitors Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within medicinal chemistry, structure-based drug design or a related
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to the qualification requirements. Applications lacking this information will not be considered. Applicants must hold a PhD in life sciences, natural sciences or medicine, with a proven track record of cardiac research
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biogeochemical processes carry out model testing and evaluation against observations write, present and publish peer-reviewed scientific articles Qualifications You must hold a completed PhD in Geology, Geophysics
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Cookie-erklæringen var sist oppdatert 14.06.2025 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