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at bachelor's and master’s level, including organizing courses within the Bachelor’s programme in Urban, Environmental, and Energy Planning. You will be responsible for guidance and examination of bachelor's and
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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
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on the emerging organizational, societal and governmental responses to the current transformations of computational practices and digital infrastructures. have comprehensive knowledge of qualitative and quali
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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University has a policy of parallel language use. The successful applicant is expected, with support from the university, to acquire Danish language skills over time and to be able to contribute to teaching in
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, 2026, or as soon as 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
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programme Wireless Communications; as per January 1, 2027, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme