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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
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) Positions PhD Positions Country United Kingdom Application Deadline 5 May 2025 - 11:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jul 2025 Is the
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understand the long-term temporal impacts and benefits of offshore wind (OSW) on fish distribution and movements across large spatial scales, with a focus on the Greater North Sea region. The novelty