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and process optimization to achieve safer and more efficient PFAS destruction. Your primary tasks will be to: Design and conduct laboratory-scale UV photochemical experiments Investigate
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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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: 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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, 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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” 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