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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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background equips you to work with both materials and processes, and you are comfortable operating at the interface between experimental work and computational modelling. You have experience with Machine
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Creativity Support in Generative AI The position is open for appointment as of October 2026, or soon hereafter. The position is a three-year role, located in the Department of Computer
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available for a period of 3 years starting January 1, 2027. The PhD student will be enrolled in the doctoral programme in Health Care, Health Promotion and Organizations at the Faculty of Medicine. Applicants
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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
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/or international research collaborations. Teaching It is a mandatory part of the PhD programme to gain experience in teaching or other forms of knowledge dissemination related to the student’s PhD
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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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positive written assessment of their teaching qualifications. Who we are The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and
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patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you will gain: Strong expertise in statistical and computational methods for privacy