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Field
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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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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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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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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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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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methodologies for assessing Local Energy Communities. Contribute to the integration of market and economic considerations into mathematical optimization models. Analyze electricity market structures, pricing
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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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overall focus will be to strengthen the department’s expertise in closing the building “performance gap” through data-driven building operation optimization and system innovation. You will bridge advanced
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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