38 wireless-sensor-network PhD positions at Technical University of Denmark in Denmark
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-film solar cells.” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods for materials discovery. Project
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at international conferences. Engage in dissemination activities and gain teaching experience. Build a strong research network through collaboration with leading experts. The position is part of the Alliance project
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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networks. Responsibilities and qualifications The primary goal of this position is to push the boundaries of computer vision and robotics. The overarching mission of our newly established research lab is to
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). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision that: You have an open mind and can think
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developing novel quantum photonic devices. Such quantum devices are central for quantum information networks, quantum computation, and quantum cryptography systems, and lie at the basis of a forthcoming
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travel in cities as well as improved well-being of travellers. You will work within the European research project NextLogic - Next-Gen urban freight logistics for net zero emissions through innovative
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to the development of a sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a large national and international network and cooperate with research partners, public
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multidisciplinary, international, and friendly atmosphere, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and