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efficiency at industrial scale. Your research centres on two challenges: Topologies and control — You develop and compare MV converter topologies and control strategies delivering DC, high-frequency AC, and
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a diverse international team of postdoctoral researchers, PhD candidates and technicians with complementary expertise in modelling, molecular biology, genomics, microbial physiology, synthetic biology
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route to produce high-quality recyclates, but current implementations rely on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy
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Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically
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of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically relevant cardiac rhythm patterns, predict disease progression and treatment response, and support personalised
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-behaviour literature; consolidating them into a Programme of Requirements; and formulating and implementing a mathematical model that assigns spaces and time slots in response to demand patterns, pricing
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development , various types of leave, and options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you
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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
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Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel
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the study of vegetation and land use dynamics from local to global scales. Within the Remote Sensing group, we use a combination of advanced methods and modelling approaches applied to the full range