210 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships in Norway
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psychosocial factors shape how employees perceive and respond to AI-supported collaboration. Therefore, there will be a human-computer interaction dynamic to this PhD. Drawing on theories such as Self
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candidate will be admitted to the PhD program in Energy Engineering and Geoscience. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the Faculty of Engineering doctoral programme: PhD
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: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial Intelligence, Machine Learning, and Natural
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considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the Faculty of Engineering doctoral programme: PhD in Engineering Very
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of the Export of Strategic Goods, Services and Technology. Employment as PhD Fellow is regulated in Regulations to the Universities and Colleges Act, chapter IV . Admission to the doctoral program is regulated in
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Practical experience with bioinformatics/computational biology Experience
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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
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education leading to a doctoral degree. The hired candidates will be admitted to the PhD program in Social science. The education includes relevant courses amounting to about six months of study, a
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who merge clinical 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