208 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" PhD scholarships in Norway
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. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date
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. Required selection criteria You must have a relevant Master's degree in Engineering or Computer Science or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits
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for changes to your work duties after employment. Required selection criteria You must have a relevant master’s degree in information security, data engineering, computer science, maritime operative management
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disciplines. Experience or interest in condition monitoring is considered a significant advantage. You must have a Master's degree in engineering, informatics, or equivalent. Your course of study must
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10 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Computer science Researcher Profile First
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available at the Department of Psychology , Faculty of Health Sciences , with the Research Group for Child Developmen t The position is for a period of four years. The nominal length of the PhD programme is
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on multidisciplinary approach, joining skills, principles and methods of engineering, management, and computer science. Moreover, the research group is responsible for the Logistics 4.0 lab, Norway’s first logistics
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for a PhD education Master students can apply, but the MSc degree must be obtained and documented by 1st of July 2025 You must meet the requirements for admission to the faculty's doctoral program (https
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position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Science
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe