40 embedded-system-"https:"-"https:"-"https:"-"https:"-"Kiel-University" PhD positions at Newcastle University
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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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. Targeted covalent inhibitors (TCIs) have vast potential to open new therapeutic avenues for undruggable targets but is currently limited by a lack of novel warheads and screening libraries. This project will
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training support grant of £20,000 and 100% fees paid (Home/UK only). Overview Mexico is experiencing an escalating water security crisis shaped by environmental pressures, rapid urbanisation, and complex
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shifts in climate towards drier summers and higher variability in rainfall (CCC, 2019 ). Without adaptation and investment, water availability is projected to fall short of meeting future demands, with
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to the discovery of new medicines is the time taken to design, synthesise and test compounds through multiple cycles of optimisation. You will seek to develop an approach to reduce that time through development
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to open new therapeutic avenues for undruggable targets but is currently limited by a lack of novel warheads and screening libraries. This project will involve the the design and synthesis of new covalent
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for black holes in our Galaxy that are in a close binary system with a normal star. Measuring the mass of these black holes informs on their formation mechanism, but traditional optical techniques are not
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rate). Research costs covered. Overview The role complements a broader NERC funded project investigating Coral Reef Dynamics across Longitude, Latitude, and Depth. The goal is to further our ecological
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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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acoustic data, has shown transformative potential in domains such as healthcare, environmental monitoring, and autonomous systems. However, most advances rely on large datasets and computationally intensive