23 high-performance-computing PhD scholarships at Technical University of Denmark in Denmark
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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
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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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working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and industrial
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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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and evaluate sustainable food packaging solutions that integrate material innovation, production systems, and microbiological safety for high-impact societal and scientific outcomes. Responsibilities
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. Responsibilities and qualifications Environmental factors like humidity and gases impact the performance of electronic devices by causing corrosion, which is influenced by the operating parameters of electronic
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for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
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materials to address the global energy problem. To benchmark a new material experimentally, we must be able to detect reaction products with high sensitivity and good time-resolution. In close collaboration