19 computer-science-intern-"https:"-"https:"-"https:"-"https:" PhD positions at University of Bergen
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, please review the documentation requirements for language qualifications: http://www.uib.no/en/med/115526/english-language-requirements-phd-admission Organized research training (PhD program): The
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-ranked international journals. Qualifications and personal qualities: Applicants must hold a degree equivalent to a Norwegian doctoral degree (PhD) within engineering, informatics, energy, mathematics
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18 Nov 2025 Job Information Organisation/Company University of Bergen Department Faculty of Medicine Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1
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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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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
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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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) at the Department of Clinical Sciences At the Faculty of Medicine, Department of Clinical Science | University of Bergen , there is a vacancy for a full-time PhD-position for a period of three (3) years or max 4
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(with possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich
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of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal
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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 advancing digital