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Field
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4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in thermal batteries, and to derive new understanding to guide
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underexplored post transition metal oxide chemistries. The structure-property information yielded by this study will allow us to develop design principles for new TCOs with targeted band alignments for a range of
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developing Generation IV nuclear reactors. With the complication of Salts chemistry and the extreme conditions to operate, the material degradation behaviour when the components are subject to mechanical
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AHRC Collaborative Doctoral Partnership Applications are invited for a PhD studentship, to be undertaken at Cranfield University (CU, Defence Chemistry Department) and the National Archives (TNA
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chemistry/biochemistry or closely related subjects, who is passionate about working at the interface of chemistry, biology and medicine, and have interest in therapeutics discovery. Opportunities to visit
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a collaborative network of experts in the field. In this 3.5-year Computational Project you will build a strong foundation in the use of state-of-the-art Computational Chemistry techniques, and you
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development strategies focus on alloy chemistry designs and targeted thermo-mechanical treatments to achieve a fine martensitic microstructure, and even more importantly, to tailor the chemistry, size and
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, chemical and biotech industries. If you have a strong background in computational chemistry, physics, mathematics or a related area, then this is the project for you! With access to large collections
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Bachelor’s Degree in an appropriate field will also be considered. Subject Area Analytical Chemistry, Physical Chemistry, Machine Learning, Mechanical Engineering, Chemical Engineering, Materials Science
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Degree in an appropriate field will also be considered. Subject Area Applied Chemistry, Physical Chemistry, Fluid Mechanics, Mechanical Engineering, Chemical Engineering