90 parallel-and-distributed-computing-phd research jobs at University of Oslo in Norway
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be appointed for more than one PhD Research Fellowship period at the University of Oslo. Job description This position is funded by the Department of Informatics and will be part of the collaboration
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, and has a 25% teaching component. The Department teaches in all the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a
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(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. Residence in Norway is expected, but PhD
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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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the PhD education and program at TIK and the Faculty and will be supported and supervised by the senior researchers in the project. For both the PhD and the postdoctoral research fellow: The contract will
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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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) 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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(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. Residence in Norway is expected, but PhD
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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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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