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device will be determined by the material used to make the crystal. In this project we will use electronic structure calculations guided by chemical understanding to discover new thorium compounds
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
-here/ to find out more about applying for a PhD programme at RHUL within their field of interest. You may also wish to explore department specific webpages to find out more. Applicants must identify a
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novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
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application of computational tools for the early detection and deconstruction of chromosomal instability in cancer” For further information about the research group, including their most recent publications
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the project objectives Provide active, in-person and intellectual contributions to the research project by ways of e.g. literature research, planning for implementation, generating new ideas, conducting
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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industry, business and government partners Deliver consulting, skills and CPD training and applied research projects. You can find examples of previous projects here. Help develop closer partnerships with
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insights from geometry and topology to discover new applications of machine learning. Multiple positions may be available. Role Requirements The successful candidate must have a PhD (or close to submitting
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The implications reach far beyond a single parlour game. This approach gives LLMs the ability to account for the long-term consequences of their actions—something they currently find challenging. Imagine AI
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): Network-level design and multi-node cooperation (coordination, topology design, distributed/federated learning, etc.) Wireless resource allocation and scheduling under multi-objective KPIs (rate, latency