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how the global distribution of microbes differ across taxa, and what the implications are for the Nagoya Protocol. Interdisciplinary Focus and Methods The PhD will integrate analysis of microbial
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Self-funded PhD opportunity in 6G as part of major project hub, further funding possible subject to progress of project and student. Focus on native AI in 6G systems with experimental testbed and
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Research theme: Net-Zero Energy Strategies for Data Centres How to apply:uom.link/pgr-apply-2425 Positions available: 1 This 3.5 year PhD project is fully funded and home and overseas applicants
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these dynamics is critical for informing policy decisions that mitigate negative externalities while maximizing the economic potential of offshore renewable energy. This PhD project aims to conduct a comprehensive
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distribution of economic benefits among marine stakeholders and opinion-holders (Willis-Norton et al., 2024). Understanding these dynamics is critical for informing policy decisions that mitigate negative
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river attributes and landscape conditions that influence their behaviour (e.g. stream power; sediment flux; valley confinement); and (2) distribution and type of physical modifications. This PhD will aim
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science. Familiarity with topics such as nonparametric and high-dimensional statistics, differential privacy, distributed learning, semi-supervised learning, missing data and causal inference is desirable
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To combat climate change and achieve the UK's target of Net Zero, it is expected that the integration of renewable energy sources (RESs) at the distribution/consumption level will keep increasing
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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topological context and data access patterns. A successful candidate will work in the Distributed Systems and Concurrency group at University of Surrey and benefit from close collaboration with Neo4j, a world