180 computer-programmer-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" positions in Denmark
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of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed
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teaching in coordination with colleagues and programme coordinators, and you will support students in developing both their technical understanding and their ability to work with complex engineering problems
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education programme, for example business intelligence, psychology, education, data science, information systems, business analytics, economics, or similar Experience with generative AI tools, prompt
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for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx
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of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD
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possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience at the Faculty of Medicine
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professor, but may also be obtained in other ways. The applicant is required to have completed a university pedagogical programme or an equivalent programme. Further information on the appointment procedure
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be accessed
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of the Faculty of Social Sciences at the University of Copenhagen. For further information about the structure of the PhD programme, please refer to: https://psychology.ku.dk/phd_programme/ . For further
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical