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, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous systems. Technology for people DTU develops technology for people. With our
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processing power of a novel photonic integrated circuit architecture [Heuck2023]. This includes studying the effects of optical loss and decoherence and methods to overcome these by error detection and
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experiments. Interest in connecting theory to experimental or real-world applications. Ability to work independently and communicate well in an international team. Research environment The PhD project will be
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results. The ability to work collaboratively in a team with an open-minded spirit, embracing both teaching and learning opportunities. A genuine interest in discussing physics and engaging in thoughtful
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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understanding different kinds of extreme meteorological events and how these may impact wind energy based power and energy systems. As well being involved in research projects you will take part in highly
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is to develop a low-power, privacy-preserving Internet of Things system that supports caregivers in delivering high-quality, home-based care for elderly individuals. The project focuses on developing
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for sustainable energy technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and
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in the Danish energy sector. As a PhD candidate, you will join the Energy Markets and Analytics (EMA) Section within the Division for Power and Energy Systems (PES). The EMA Section is renowned for its
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part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies)—a national collaboration involving 23 leading companies, five Danish universities, and three