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generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in
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combines approaches from computational physics, machine learning, neuroscience, and gene technology. The postdoc is expected to contribute to develop machine learning models for the construction
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intelligence Apply for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD program Innovation in Services in the Public and Private Sectors (INSEPP) , invites
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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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. 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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, health and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and
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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 specialisation of relevance to
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. Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent foreign degree in literary studies, digital culture, digital humanities, computational linguistics, computer science
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to the university’s doctoral programme in Technology within three months of accession in the position. For admission to the Programme the wighted average grade is B or higher is usually required. Co-operation between
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a Norwegian PhD or an equivalent foreign degree in literary studies, digital culture, digital humanities, computational linguistics, computer science or a related area. The doctoral dissertation must