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flow law, compare it to similar research on olivine, and help implementing this model into the geodynamic software ASPECT. The aim is to develop a single method for anisotropic flow modelling for both
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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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motivation regarding completing the research training program Documented experience with research within the educational field, preferably learning sciences or educational psychology. Personal skills In
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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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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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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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to the successful completion of a PhD degree. The fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program must be submitted no later
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development. • An inspiring academic setting at the Natural History Museum, where science, history, and public engagement intersect. • Access to state-of-the-art lab and computing facilities. • A
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One PhD fellowship is available at the Department of Criminology and Sociology of Law to undertake research as part of the project Digitizing Sexual Violence: The role of technology in creating and