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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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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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, and promote and develop genuine interdisciplinary research with the optimal use of research funds; (c) ensure high-quality teaching as well as holistic development of the students, and align
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rapidly enough. There is an urgent need to develop new tools, understand how to optimally deploy both novel and existing tools, and understand the health system implications of each approach. Novel testing
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include the analysis of VOCs emitted from plants to understand optimal conditions for controlled environment agriculture (CEA). By tailoring ‘light recipes’, CEA can optimise plant growth, enhance
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genome synthesis. Microbial Genome Synthesis and Design. Gb-scale Genome Synthesis for plants, human cells and animals. Combinatorial synthetic genomics. DNA delivery. Predictive models of DNA sequence
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Facilities, Schools, students, and Professional Services, the role ensures optimal space usage and stakeholder engagement in a rapidly evolving educational environment. Responsibilities Support the development
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, to predict MoSS formation, model dopant effects on crystal structures, and identify optimal dopants for tuning host compounds. The project is highly multidisciplinary, linking computational and physical
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, interactions with partners, and study of trends in hardware and software energy efficiency optimization, you will build models and develop guidance for a range of stakeholders. This is an open-ended appointment
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, to predict MoSS formation, model dopant effects on crystal structures, and identify optimal dopants for tuning host compounds. The project is highly multidisciplinary, linking computational and physical