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simulation results will be used to propose material and design guidelines for improved environmental robustness, such as optimized Cu pad and gel substrate compositions for IGBTs, and enhanced design
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fluorescently label CTCs, enabling precise isolation and downstream single-cell analysis. Using state-of-the-art Orbitrap mass spectrometry, automated sample preparation, and computational integration with
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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: Microphone array processing. Acoustic measurements. Statistics and machine learning. Optimization and inverse problems. Excellent communication skills. Your primary responsibilities will be: Conduct original
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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” funded by the VILLUM FONDEN. The overall aim of the project is to introduce microstructural engineering to the field of additive manufacturing (AM) of metals. This is to set the stage for optimizing metals
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
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. Main tasks and responsibilities: Design soft robotic grippers with embedded sensors Develop and optimize multi-material 3D printing processes Integrate sensors and adaptive control systems Validate