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Field
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establishing an understanding of "what normal looks like", these models will detect deviations from the norm and effectively identify potential anomalies during testing. You will explore both self-supervised
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through advanced modelling and simulation. A key objective is to validate and optimize poroelastic finite element models of brain tissue, making them more accurate and clinically relevant. Additionally
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process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data
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areas. Project aims and objectives This project aims to develop a novel approach to analyse the interaction between the structure of CFM and the dynamic performance of the flow. The aim will be achieved
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region and identify mutations. Develop and optimise bioinformatics tools to detect mutations using positive controls. Apply polygenic risk scores (PRS) to genome-wide SNP data to identify individuals
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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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management of fisheries for biodiversity and human communities. Project aims and objectives The project will develop biotechnological tools to facilitate the conservation and sustainable management of Malagasy
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turbulence due to varying bathymetry, bed roughness, and due to boundary forcing due to free surface changes or fixed lateral channel boundary. The research objectives include designing an experimental
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as