30 evolution "https:" "https:" "https:" "https:" "https:" "https:" "BioData" positions at Newcastle University in United Kingdom
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prestigious £8M EPSRC Programme Grant on Advanced Integrated Motor Drives (AIMD), a major research initiative launched in 2025. You will work on the development of wide bandgap device-based integrated motor
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Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery. Targeted covalent inhibitors (TCIs) have vast potential
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attention to boundary conditions and heterogeneity. The outcomes will support improved design, risk reduction and development of low-carbon geothermal resources. This project addresses sustainable resource
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discrete element method (DEM). The research outcomes will provide critical insights into the microscale transport phenomena relevant to subsurface storage performance, including permeability evolution and
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known as ‘brittle bone disease’ is a genetic condition which affects the development of type I collagen. Patients with OI have poor mineralisation of their bones and consequently are much more likely to
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-based modelling with data driven surrogate approaches. The first stage of the project will involve the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow
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the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow processes in riverine and estuarine systems. This model will be coupled with advection–diffusion–reaction
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compared to the current state-of-the-art. The project will align the in-house algorithm-to-hardware development of the Micro-Systems Research Group at Newcastle University with next-generation Field
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-of-the-art AI and computing facilities, receive tailored training and professional development, collaborate with experts across disciplines, and contribute to open-source tools that advance the wider AI
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and adapting existing simulation models of transport systems and development of methods for resilience analysis. The PhD project will suit students from any quantified background, including engineering