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support the application and validation of the developed methods. Responsibilities and qualifications As part of the LeGO project, you will help develop the next generation of tools for combinatorial
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with methodologies such as AI-assisted evidence synthesis and quantitative health impact assessment and become part of an interdisciplinary research environment with strong links to DTU Compute and the
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integration of pit thermal energy storage in thermal grids Collaboration with KTH Royal Institute of Technology on building-integrated thermal energy storage Work as an assistant teacher in relevant courses
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field where your creativity and technical skills can help shape safer and smarter oceans. As a PhD candidate, you will have the unique chance to contribute to groundbreaking research that merges
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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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mechanisms You will work together in a team with colleagues working on electrochemical characterization. As part of the PhD education, you will follow courses and assist in teaching activities, and: You are
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will, in addition, sharpen your didactics skills through experience as a teaching assistant. You must hold a two-year master's degree (120 ECTS points) in Robotics, Electrical Engineering, Computer
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information Further information may be obtained from Johanna Vorwerk, Assistant Professor at DTU Wind and Energy Systems, vorjo@dtu.dk . You can read more about DTU Wind at www.wind.dtu.dk . If you are applying