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remain resilient in a world of increasing climate uncertainty? This PhD project offers the opportunity to work at the intersection of climate change, food systems, and advanced optimization modelling. You
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operational control strategies for circular CEA systems. Together, the two projects will establish the modelling and optimization foundations for future circular greenhouse and vertical farming systems. Your
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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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-driven approaches, the group aims to predict plant performance and optimize production systems across the entire supply chain, contributing to sustainable and efficient horticulture.
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conditions, and protein sources on the flavor profile of PBMAs. To characterize the resulting aroma compounds, you will work with state-of-the-art analytical techniques, including GC-HRMS and UHPLC-HRMS
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grid operators and other stakeholders make robust decisions when the data they need cannot always be shared? The transition to sustainable heating is one of the biggest challenges of the energy
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PhD Position: Decision-Making for Heat Transition Planning under Data Sharing Constraints Can grid operators and other stakeholders make robust decisions when the data they need cannot always be
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through prediction of optimal growth and elicitation conditions, and (iii) consolidate results into standard operating procedures and a transferable AI agent applicable across species.
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-optimizing-canopy-photos… Requirements Specific Requirements You are excited about plant physiology and photosynthesis, and motivated to understand how plants function under realistic and dynamic environmental
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aroma compounds, you will work with state-of-the-art analytical techniques, including GC-HRMS and UHPLC-HRMS, complemented by sensory evaluation studies. Your research will contribute to the development