12 algorithm "Technical University of Denmark" PhD positions at Technical University of Denmark in Denmark
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program Technical University of Denmark (DTU) and Novo Nordisk have initiated a strategic partnership and created a joint cross-disciplinary research program aimed to tackle one of the life science
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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Engineering, Technical University of Denmark (the TopOpt group , and CAMM ). The PhD-project is funded through the “Optimized incisions and sutures for efficient wound healing“ (OPTCUT) project granted by
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of solvers for stochastic optimization problems, and test the methods on real-life data. As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and
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for the position. DTU Space has about 220 employees and it is located at the Lyngby Campus of the Technical University of Denmark together with 19 other institutes within the technical sciences. DTU Space is the
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background checks may be conducted on qualified candidates for the position. About DTU Aqua, Technical University of Denmark DTU Aqua provides research, advice, innovation and education at the highest
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, monocular depth estimation, and reinforcement learning. You will develop innovative algorithms that empower aerial robots to actively explore unknown, unstructured, and GNSS-denied environments while
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of Europe’s ‘green transition’ to clean energy. You will work on cutting-edge research tasks, with objectives including • new algorithms and strategies to improve autonomous Airborne Wind Energy (AWE) operation
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nonlinear fiber-optic channel. The project will cover both algorithm development as well as experimental implementations. We offer an opportunity to develop expertise in various domains, including but not
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quantitative metrics of faults and defects, integrating statistical metrics into active inspection behaviors. Collaborate with a multidisciplinary team—from the AUTOASSESS project—to integrate your algorithms