37 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" PhD positions at Aalborg University
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, Department of Computer Science, the Technical Faculty of IT & Design and the Center for Clinical Data Science (CLINDA) and Center for General Practice (CAM), Department of Clinical Medicine, the Faculty
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At the Faculty of Social Sciences and Humanities, Aalborg University Business School, a PhD position in Macroeconomics is open from June 1, 2026, or soon thereafter. The PhD student is affiliated
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School of Social Sciences and Humanities in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic
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At the Technical Faculty of IT and Design, the Department of Architecture, Design and Media Technology (CREATE) offers a fully funded interdisciplinary PhD stipend within the study program “Media
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candidate will be hosted by the Section for DATA at the Department of Computer Science as part of the CLASSIQUE center. A dedicated supervisory team led by Professor Torben Bach Pedersen, Associate Professor
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computational statistics). Read more here: Department of Mathematical Sciences . Center for Clinical Data Science (CLINDA) is an interdisciplinary research center at the Department of Clinical Medicine
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the following qualifications: M.Sc. degree in either automatic control, mathematical engineering, mechanical engineering, mathematics, computer science or similar. Solid mathematical and analytical
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have an MSc degree in Computer Science or a related field, which is completed by the date of appointment. Experience with computer vision is a requirement, and experience with human pose estimation
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application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study program. The PhD stipend is open for
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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning