41 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at The University of Manchester
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-road vehicles. Optimised thermomechanical ageing process has pushed these alloys to new performance levels, but the quenching and pre-ageing steps, critical to controlling precipitation behavior and
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in the groups of Dr Florence Hardy and Prof Anthony Green, University of Manchester, as part of the cross-institutional BioAID Doctoral Training Programme, including world-leading experts from Queen's
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, Computer Science, and Business. Academic Criteria: Bachelor's (Honours) degree in Law (or a cognate subject) at 2.1 or above (or overseas equivalent), or professional experience/qualifications; and Master's degree
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with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the position may be filled before
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potential to unlock critical savings in the design process. This project will allow this potential to be explored and quantified, making use of University of Manchester's existing world class high fidelity
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collaboration between University of Manchester and Rolls-Royce. The coatings will be fabricated with use of electroplating process followed by thermal treatments to allow formation of diffusion coatings
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Sciences, Materials Science, chemistry, physics or a related physical science discipline to join our research group. Some knowledge or previous experience in petrology, materials processing, coding or data
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Research theme: Computational magnetism How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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this, empirical rules have been developed. However, a fundamental understanding of the process is still lacking. Furthermore, current standard tests do not adequately capture the phenomena, and thus industry is