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operating currents and conductors composed of multiple REBCO tapes in parallel. It is therefore necessary to develop experimental and numerical study capabilities for quench dynamics in REBCO conductors and
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systems based on absorption high-temperature heat pumps, with particular emphasis on dynamic behavior and system integration. The research will combine dynamic modelling, numerical simulation, and
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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and optimize lymphoid organoid systems derived from iPSCs and primary human CD34+ cells Perform CRISPR screens targeting genes implicated in lymphocyte development Generate and characterize lymphocyte
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing
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, mechatronics, robotics, or applied physics Additive manufacturing / 3D printing and experimental mechanics Numerical modelling (FEA) and/or programming (Python/Matlab) Experience with 4D printing or SMPs is
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its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful
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transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel-flexible technologies, and integrate
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offers the optimal conditions for graduates to earn the titles of Dr-Ing and Dr rer pol. Young scientists have the opportunity to be integrated into an interdisciplinary research environment given by
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catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a