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an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start
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-driven to advance with their research project. Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics and sustainability thinking. Follow our PhD program that
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programme. The work is expected to lead to a PhD in political science. Required qualifications Formal qualifications Education equivalent to five years at university level in Norway, including a two years
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advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as
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' organised research education programme (PhD programme) and the completion of a doctorate in sociology or human geography. The candidate who is hired will automatically be admitted to the PhD programme
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) will consist of teaching and supervision in the institutes study programmes. The research fellow must take part in the Faculty’s approved PhD program and is expected to complete the project within
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the workload corresponding 25% of the position) will consist of teaching and supervision in the institutes study programmes. The research fellow must take part in the Faculty’s approved PhD program and is
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employment that the PhD Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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computing facilities. • A stimulating research environment with strong support for professional and academic development. • A strong support system available for PhD candidates, including access to wide