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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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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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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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of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a
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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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computational and biological sciences to address complex life science challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project
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Sciences' organised research education programme (PhD programme) and the completion of a doctorate in human geography. The candidate who is hired will automatically be admitted to the PhD programme
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contribute to the development of sociology at the department. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme ) and the completion
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(SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in the Climate Health project at the HISP Centre. Starting date as soon as possible