53 information-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" 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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testing potential drug candidates in high-throughput. One of the barriers to the discovery of new medicines is the time taken to design, synthesise and test compounds through multiple cycles of optimisation
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, delivering greater performance, functionality, and reliability. This demands the adoption of faster switching wide bandgap devices and greater system integration. About This PhD This PhD programme is part of 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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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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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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under 26 NB: If you are already studying for or hold a British degree or degree-equivalent qualification, you will not eligible to apply for a Marshall Scholarship. How To Apply For further information
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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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their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics-based modelling with data driven surrogate approaches. The first stage of the project will involve