26 linked-data-"https:"-"https:"-"https:" PhD positions at The University of Manchester
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development, the studentship will provide exposure to the challenges and opportunities associated with translation of long-acting technologies towards clinical implementation. This studentship is closely linked
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, such links have predominantly been directly from a wind farm to shore (point-to-point). However, proposals are developing for multi-terminal grids for improved reliability and asset utilisation. Proposals
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developing better models for fragmentation of metals that include a consideration of the structure at the micro-scale, linking this to fragment formation at the macro-level. This will build on work in crystal
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University Belfast, University of Manchester, University of Edinburgh and University of Bristol. BioAID will train the next generation of scientists in Artificial Intelligence and data-driven approaches
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they can reliably, affordably, and fairly support a net-zero energy system. The research will focus on how data-driven and machine-learning-based control can coordinate demand, storage, and local generation
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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships
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, and data-driven analysis. The project will be supported by a strong research environment with experience in concrete behaviour at elevated temperatures, constitutive modelling, and advanced numerical
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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studies, the reactivity of MOFs against ammonia and nitrogen oxides will be examined by EPR. This enables information about metal sites, redox transformations, and possible host-guest interactions
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information, please contact main supervisor; Prof Michael Greaney (michael.greaney@manchester.ac.uk ).