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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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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
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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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Quality and Design ” chair group, led by Prof. Vincenzo Fogliano and Prof. Kasper Hettinga . The mission of this chair group is to optimize food quality throughout the food chain by designing better foods
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic
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. The state-of-the-art approaches in optimal climate control of greenhouses are based on implementing economic objective functions exploiting a time scale decomposition between short-term climate control/energy
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Optimization of curb space allocation. Job description We are seeking a postdoctoral researcher to lead TU Delft's contribution to the Stritvaiz project, which transforms a former inner-city
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confidence in the measurements and establish traceable validation routes. Optimize the methods for realistic converter operating conditions and communicate practical guidance to academic and industrial users
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researcher will combine thermodynamic modelling, process simulation, and crystallization engineering to enable process optimization and scale-up. The tasks include: Development of thermodynamic models
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the optimization of biochar production from different biomass types at different pyrolysis conditions to produce biochar with characteristics tailored for specific applications such as the treatment of road runoff