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will investigate how technical AI systems can support learning and interaction among students in collaborative educational settings. A specific focus will be the co-design, development, and evaluation
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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
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for professional and academic development. As part of the three-year PhD program, you will conduct independent research under supervision and complete PhD courses corresponding to approximately 30 ECTS. Courses may
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at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian
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development with practical application in the built environment. The project will focus on developing and applying approaches for assessing renovation, transformation, and continued use of existing buildings
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development, interpretation of multi-omics datasets, presentation of results at international conferences, and preparation of scientific manuscripts. Principal supervisor: Associate Professor Jordi Merino
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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commitments and life outside work. The fellowship offers strong opportunities for professional and academic development. As part of the three-year PhD program, you will conduct independent research under
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combine requirements gathering with interactive system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be