48 parallel-computing-numerical-methods PhD positions at The University of Manchester
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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process
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advanced theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling
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the potential to scale up solutions and see your research make a demonstrable impact on real world challenges, manufacturing methods, and products. Applicants should have, or expect to achieve, at least a 2.1
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more efficient, sustainable and cost-effective synthetic methods to produce them are urgently needed.[5] To this end, several groups have developed complementary biocatalytic strategies exploiting
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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methods at the University of Manchester will be used to investigate microstructure and its role in SCC performance. Novel in-situ mechanical test methods will be used to study the SCC phenomena as it occurs
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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. This PhD is part of a multi-disciplinary team supported by a £5.4 M BBSRC sLoLa and offers numerous opportunities for training and collaboration, as well as direct training in isotopic, -omics and microbial
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to leverage molecular dynamics simulation develop methods to determine the partitioning with relevant surfactant systems. The project will further be extended to studying the interaction of different additives