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. This includes practical knowledge of soft sensors, AI and ML, and hybrid modelling approaches, expanding also towards the digitalization of education, including the development of chatbots, virtual labs, and the
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, nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics. Technology for people DTU develops technology for people. With our
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is internationally recognized and has a strong collaborative network within the development of advanced analytics. We offer a rewarding and challenging job in an international environment with
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on the development of micro and nanotechnology-based sensors, detection systems, drug-delivery devices, and energy materials. Responsibilities and qualifications You will be responsible for the fabrication and
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) for application-oriented industrial applications. Our group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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AOP networks. The project will be linked to activities in other ongoing projects in the Ecotoxicology group including PARC (EU, Partnership for the Assessment of Risks from Chemicals) and NeXED (Network
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highly cross-disciplinary research section with over 50 members that focuses on the development of micro and nanotechnology-based sensors, detection systems, drug-delivery devices, and energy materials
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, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous systems. Technology for people
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function