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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Oslo
- Western Norway University of Applied Sciences
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nord University
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- UiT The Arctic University of Norway
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with international partners Qualifications To be admitted to the PhD programme at the Faculty of Medicine, applicants are required to have completed at least 5 years higher education, i.e. a master’s
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computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories
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, UiO) and one in Tromsø (UiT The Arctic University of Norway). This position is in Oslo. Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is
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admitted to the PhD programme at the Faculty of Medicine, applicants are required to have completed at least 5 years higher education, i.e. a master’s degree or equivalent professional studies, or equivalent
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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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relevant background within marine technology, engineering design, artificial intelligence, computer science, with good skills in mathematics, programming, and applied AI. Candidates with strong AI and
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Technology » Telecommunications technology Researcher Profile First Stage Researcher (R1) Positions PhD
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, engineering design, artificial intelligence, computer science, with good skills in mathematics, programming, and applied AI. Candidates with strong AI and programming skills and a demonstrated interest in
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several master’s programs. The faculty provides a PhD program titled Health, Function and Participation. In addition, the faculty co-manages the research area Innovation in the Public Sector in
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several master’s programs. The faculty provides a PhD program titled Health, Function and Participation. In addition, the faculty co-manages the research area Innovation in the Public Sector in