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probability, allow for the application of tools from probability theory to combinatorial problems and motivate the study of the typical properties of various combinatorial models, such as the Erdős–Rényi random
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to address these combinatorial decision challenges, with a specific focus on nanocellulose production in the UK. By exploring different feedstock options, supply chain configurations, and process pathways
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tumours and metastases with the goal to design combinatorial therapeutic approaches. The project will involve the use of genetically complex organoid-derived transplantation mouse models of pancreatic
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chemistry of polyol binders (HTPB) and isocyanates for optimization of formulation (pot life) and product mechanical properties for application in solid rocket propellants. Due to the confidential and
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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development of optimal passive mitigation solutions through the enhancement of components such as elastomers. These elements will be selected and optimised to absorb and isolate shock and vibration while
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methods to improve systems, and ML research develops such methods. Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of
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effective energy management system (EMS) is then necessary to monitor the states and optimize the use of HESS, consequently enhancing the eVTOL’s desired performance. The state-of-the-art review indicates
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situ, with direct structure determination, and (ii) investigating and optimizing methods for chirality determination using electron crystallography. Candidate We are looking for a highly motivated and
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the environmental and economic impacts of the defined scenarios. 6. Identify an optimal pathway for the development of the circular battery economy, defining the production and recycling technologies needed and a