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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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close to 50-50% gender balance. Our working language is English. We are highly interdisciplinary and include experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine with
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topics. Your competencies You hold a PhD in a relevant field such as industrial ecology, environmental engineering, sustainability science, environmental management or a related area. You have experience
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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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SPARK project, starting in September 2026 or soon hereafter. The 3-year project is funded by the EU’s Horizon Europe flagship programme to develop and pilot Stillstrom’s Offshore Power Zone infrastructure
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Would you like to be a part of a dynamic team, working with future energy systems? At the Faculty of Energy Technology, a position as Tenure Track Assistant Professor in Digital Twin in Electrical
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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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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Foundation Data Science Infrastructure Programme, “the National Health Data Science Sandbox”, a network of data scientists and researchers across five Danish universities building training and research
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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degree in information Engineering, computer science, cybersecurity, software engineering, or related fields Strong programming skills (e.g., Python) Strong motivation to contribute to cutting-edge research