20 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköping-university" PhD positions at Newcastle University
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testbed development for the cloud-edge-device continuum is a plus Number Of Awards 1 Start Date 1 October 2026 Award Duration 4 years Application Closing Date 15 February 2026 Sponsor EPSRC Supervisors Main
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UKRI rate). Additional project costs will also be provided. Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery
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to lysine-TCI development in drug discovery. These optimised warheads will be incorporated into known inhibitors and tested against the relevant protein as a proof of concept. This is an opportunity to join a
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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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-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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-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