166 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Norway
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be of high quality (grade A or B) and within a
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fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline
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. Apply for this job See advertisement Job description Position as PhD Research Fellow in Data Quality and Integration in Circular Economy is available at the Department of Informatics, University of Oslo
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corresponding to master’s degree level Knowledge of matching-to-sample (MTS method) Excellent written and spoken English Admission to the PhD programme in Health Sciences is a prerequisite for the position. In
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career-promoting work, that consists of teaching and supervision duties and research assistance. The research fellow must take part in the faculty’s approved PhD program and is expected to complete
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project/work tasks: The SnowAI project aims to use to produce new high-resolution datasets on snow depth in Western Norway derived from machine learning and radar remote sensing. The successful PhD
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to the research group Harvest at the Norwegian College of Fishery Science (NCFS). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed
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you want to take part in shaping the future? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD Research Fellowship in Computational
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communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities' PhD Program pt. 2.1 . Applicants must