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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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replicate the sensory and functional qualities of natural seafood. This PhD project is expected to develop technology for cultivated seafood, by selecting the optimal cell source, developing a continuous cell
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organizational challenges of this twin transition. First, interoperability is key in the energy transition, requiring further integration of existing control and optimization systems. This transition makes energy
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, or conditional deletion of defined dendritic cell subsets, providing powerful genetic tools for dissecting cell-specific roles in vivo. Using and optimizing these tools to study Type 3 Dendritic cells in mouse
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first focus on hedging decisions with respect to the uncertainty on the battery model itself. To this end, you will explore concepts such as distributionally robust chance constrained optimization. Second
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sanitation industries. Working with our established industry partners, you'll implement your innovations in real operational environments, seeing your research make tangible difference while building
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transition. First, interoperability is key in the energy transition, requiring further integration of existing control and optimization systems. This transition makes energy forecasting particularly critical
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level. Overseas students must be able to demonstrate they are able to pay the difference between UK and overseas fee. For 2025/26 entry this will be £22,714 per year of study. The project focuses
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that regulates cell fate across different organisms at the evolutionary tree, from protists (Dictyostelium discoideum) to humans. As a PhD student, you devote most of your time to doctoral studies and the research
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. Identify the key factor affecting texturization processes and study the relationship between food structure and textural characteristics at different scales using spectroscopic, microscopic, rheological