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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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PostDoc in the project). Collaborating with fellow researchers across the UPLIFT network, including those focused on digital twins at DTU Chemical Engineering- As a PhD candidate, your work will adapt
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transportation planning and resource management, where better decision-making can benefit both society and the environment. In this PhD project, the primary focus will be on improving exact optimization methods
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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.” This position is part of the IntelliWind (Intelligent Systems for Autonomous Wind Power Plant Operations) project, a prestigious Marie Skłodowska-Curie Doctoral Network (MSCA DN) funded by the European Union. As
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, including a large international collaboration, offering excellent opportunities for networking with researchers and fellow PhD students, particularly in Sweden, Norway, and Portugal. Responsibilities and
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individualized course program Training in a wide range of skills including research management, communication, networking, presentations, writing of manuscripts etc. Research exchange to collaborating institution
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics