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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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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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Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in
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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
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Position as PhD Research Fellow in Data Quality and Integration in Circular Economy is available at the Department of Informatics, University of Oslo. Starting date: preferably no later than September 15th
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qualifications) and meet the formal requirements 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
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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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well as their individual research within the Center for Digital Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new
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Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new computational models of narrative and re-implementing
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simulations is a requirement. Experience with or competence with quantum computing and technology is an advantage. Experience from or competence in data science and/or optimization is an advantage. Applicants