20 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" PhD positions at Newcastle University in United Kingdom
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PhD Studentship: Development of a robust hydrological modelling framework for drought risk assessments Award Summary Tax-free annual living allowance £26,546 a £20,000 research training grant and
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stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design approaches that overlook plant ecology and the interaction with soil structure development. This PhD
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principles. The proposed project will investigate the development of TCRs by studying the impact of geometries and microstructures on the hydrodynamics of reactants in chemical and/or catalytic reactions and
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formation, compromising the enhancements achieved through the use of TC intensification principles. The proposed project will investigate the development of TCRs by studying the impact of geometries and
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. Methodology The PhD will be divided into 3 work packages (WP): WP1 - Digital Twin Development: This WP focuses on building physics-informed digital twins for high-impact use cases: Smart Grids (simulating load
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(LCMS, NMR) new covalent warheads with suitable reactivity and stability for application to lysine-TCI development in drug discovery. These optimised warheads will be incorporated into known inhibitors
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living examples of a highly skilled workforce delivering an equitable energy transition so that Net Zero is inclusive for all. The development of deep geothermal energy systems relies on robust modelling
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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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. The project will seek to develop an approach to reduce that time through development of high-throughput chemistry approaches that allow the rapid synthesis of analogues with clean-up and direct-to-biology
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processes that integrate formal requirements and automated test generation based on formal specifications into medical device software development. You will be trained to conduct research combining software