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Field
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scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed to demonstrate and evaluate the performance of the innovative
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of service. The project is conducted in collaboration with two clusters at the Department of Mathematics and Computer Science of TU/e: Data and Artificial intelligence . Novel learning algorithms will
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techniques, including KKT conditions or ADMM algorithms, would be appreciated • Interest in flexibility management, game theory, equilibrium problems, or multi-energy systems • Strong analytical, research, and
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. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also
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-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will develop algorithms for segmentation
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cognition simulation algorithms, benchmark evaluations against direct behaviour-to-label baselines, interpretable markers of cognitive-affective dysfunction, and prototypes for non-invasive mental health
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quantum computing. We explore new ways to build sensors, such as continuous optical clocks, and collaborate with industry, startups and users to bring quantum technology to the market . This project is
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algorithm development, countermeasure testing, and integration of C-UAS detect-and-identify systems. It supports research on RF sensing, direction-finding, and signal classification for UAS geolocation and
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, etc.), (iii) Evaluation of interactions and potential conflicts between subsurface uses, (iv) Monitoring of subsurface structures (sensors, passive seismics, etc.) and surface impacts (satellite
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on a physical non-nuclear test system. You will design control algorithms that handle the full range of operational states, from steady cruising to rapid load changes and emergency scenarios, and ensure