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Field
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of the proposed replacement approaches will form an integral part of the proposed multi-objective optimisation approach. Such a methodology should help asset managers and system operators to make practical
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findings in peer-reviewed publications and at scientific conferences. Project aims and objectives This doctoral project proposes a 3-year investigation into the bidirectional influence of training and match
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to focus on the relationship between geometry and quantum theory. A key objective will be the conceptual and mathematical understanding of the original Penrose spin network, with a view toward foundational
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to focus on the emerging framework of quantum reference frames and the generalization of its core concepts to special relativity, gravity, and quantum field theory. A key objective will be the formulation
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The transition to net-zero aviation has emerged as a critical objective in the global effort to mitigate climate change, with the aviation sector currently accounting for approximately 2–3% of global CO₂ emissions
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this by monitoring infectious disease trends and outbreaks using systems that collect information over time and allow unusual changes to be detected. While these normally count laboratory test results
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to the full extent. The objectives of this project are i) to quantify the carbon footprint of silage production under different management practices using data collected in farm audits undertaken across the UK
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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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the integration of research findings into the broader Sliding Lands project. Key research objectives include: Building a time-series data cube of landsliding across New Zealand using satellite imagery archives
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objectives, outline methods statement, and anticipated timeline. The proposal should use consistent academic citation. Applications not including a research proposal cannot be considered for award