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to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted
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requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
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statistical analysis. You must meet the requirements for admission to the faculty's Doctoral Programme in Social Science . Good oral and written presentation skills in English. The appointment is to be made in
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Doctoral Programme experience in using a combination of qualitative methodologies, such as case studies and design science, and quantitative methodologies, such as simulation and advanced analytics, within
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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
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within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. The position is conditional on external funding
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training program Documented experience with research within the educational field, preferably learning sciences or educational psychology. Personal skills In the assessment of applications, emphasis will be
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the Research Education Board (DGU) at the Faculty of Social Sciences, OsloMet – Oslo Metropolitan University. Upon admission to the programme DGU will assign you a supervisor/supervisors. Preferably, the main
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with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in Artificial Intelligence Computer Science Foreign completed degree (M.Sc.-level) corresponding to a
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two of the university's strategic focus areas. The faculty has about 2,800 students and approximately 500 employees at the Department of Electrical Engineering and Computer Science, Department