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promise in understanding disease mechanisms and improving clinical decision-making. Recent studies suggest that generative models can uncover latent structures and improve classifier robustness across
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and therefore, the ability of a liquid fuel structure to resist deformation by the air stream. This is of particular relevance to gas turbine fuel injectors which are operated at high pressure and
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Project Background: Why some people with multiple sclerosis (MS) experience faster changes in brain structures (neurodegeneration) than others? What genetic associations with brain regional
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
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studying across a number of UK Universities. The objective of the research is to understand the effects of structural warpage due to heating on the aerodynamic performance of supersonic intakes and then
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exploiting the structure of inputs and doing a multivariate complexity analysis. The goal of this project is to develop more efficient parameterized approximation algorithms and preprocessing algorithms (also
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opportunity for a motivated scientist to unpick the impact of host factors on tumour structure. To lead this research as a doctoral student you will be passionate about using large-scale data to address
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
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will take place: August & September Name of Funder: Brunel University London (BUL) Research Council: EPSRC Structure: Stipend plus Tuition Fees Duration: 42 Months (3.5 Years) Stipend Amount: Stipend and
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Glycosaminoglycans (GAGs) are linear sugars that are displayed on all cells throughout the body as well as in the matrix. Like other glycans, they are not built against a defined template, and yet their structure is