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network of pain research. CNAP is affiliated to the Department of Health Science and Technology at the Faculty of Medicine, which conducts multidisciplinary research and teaching in health science and
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of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a
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Technology at the Faculty of Medicine, which does multidisciplinary research and teaching in the area of health science and technology(e.g. medicine and biomedical engineering). The strategic focus
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Department of Health Science and Technology carries out multidisciplinary research, teaching and dissemination within biomedical engineering, sports science and medicine. The department has
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student is expected to contribute actively to the research and teaching activities of the IKE research group. In addition to writing scientific articles, the PhD student is expected to collaborate with
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already have a Master education) in areas related to(but not limited to) Bayesian deep learning, neural architecture search strategies(e.g. reinforcement-based), confidence estimation in deep neural
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There is a huge potential for using artificial intelligence(AI) for improving diagnosis and treatment of many diseases. Large amounts of clinical data are needed to train useful AI systems. However
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of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions
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, including the master's thesis, according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system/grading-system/grading-system ). Proficiency in written Danish and English
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are planning to complete a doctoral thesis in English and who do not have English as a first language or WHO have not completed an English language-based Master's programme(or an equivalent educational