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Entrepreneurship, we are committed to driving innovation and enabling positive social and economic transformation. We pursue evidence-based research and foster entrepreneurial capability development across education
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materials design, prospective life cycle assessment, and industrial innovation. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network UP2MEM, a European training network committed
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membranes. You will work closely with our partner institutions and collaborators in both projects, including DTU Energy, EPFL and Max Planck Stuttgart. Your primary tasks will be to: Design and fabricate
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
. health, safety, environment), equipment operators, pedestrian workers, and emergency responders. The initial contributions are expected to be in (a) digitalizing existing Prevention through Design and
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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overall focus will be on the design, fabrication and characterization of an endoscope able to generate and collect ultrasound signals, integrating piezoelectric materials and devices onto optical fibers
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at the forefront of designing catalysts and using advanced operando tools, such as Raman spectroscopy, to uncover how these reactions happen at the atomic and molecular level. Your work will help pave the way
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data Design algorithms for correlating low-level events into process-level attack models Contribute to joint framework development with TU/e on continual learning Collaborate with industry partners
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Kontogianni. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an
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tasks will be: Plan and manage your PhD project in collaboration with supervisors Design and develop management and real-time operation tools for ePIPV Test controlling functionality in a state-of-the art