200 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UCL" PhD scholarships in Norway
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dedicated initiatives and networks for women in science Integreat provides a researcher training programme, INTREF - the Integreat Young Researchers’ Forum - a fellow driven initiative offering scientific
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if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme You must demonstrate previous activities in
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for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Program. Good oral and written presentation skills in English. You need strong skills in mathematics
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NMBU is at the same time an application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an
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education. You must meet the requirements for admission to the faculty's Doctoral Programme . Working proficiency with C/C++ programming languages. Good written and oral communication skills (English). PLEASE
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meet the requirements for admission to the faculty's Doctoral Program Good oral and written presentation skills in English. You need strong skills in mathematics, probabilities, optimization and
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relevant Engineering discipline, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting MSc thesis within 30. June 2026 may be considered
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at the same time an application for admission to a PhD program at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an
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approved PhD program. The successful candidates are expected to start on 1st September 2026. Qualification requirements and personal skills Applicants must hold a Bachelor’s and a Master’s degree or
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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest