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Field
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to artifacts such as non specific absorption, parasitic reactions, or diffusion based resolution loss. In this project, we will design and control a surface modifcaiton process based on a double, photo
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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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and control, equipment diagnostics, environmental adaptation, and human activity recognition. Moreover, integrating acoustic information with complementary sensing modalities has the potential to unlock
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and its supporting infrastructure • realize on-chip pulsed DNP • design microwave pulse sequences for on-chip DNP using spin physics, numerical simulation tools, and quantum optimal control
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tackle the socio-techno-economical complexity of the built environment. Your vision is to close the “performance gap” by integrating Advanced HVAC System Design & Control, Cyber-Physical Modeling, and
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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function approximation and optimal control. ● Contribute to writing scientific papers on the project results and assist in disseminating these results at conferences and workshops. The selected candidate may
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such as process modelling, thermodynamics, heat and mass transfer, process dynamics and control, optimization or energy-system analysis, and you are interested in applying these disciplines to Power-to-X
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Horizon Europe – MSCA-DN, tackles challenges in designing, optimizing, selecting materials, and manufacturing small-scale turbomachinery for applications in heat pumps, fuel cells, organic Rankine cycles
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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