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a PhD in Materials Science, Chemical Engineering, Chemistry, or related discipline; materials processing and characterization experience; knowledge of characterization techniques (XRD, SEM
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sciences or bioengineering background, with experience of preclinical models and a background in skeletal conditions. Alternatively, you could be an engineer with biomechanical or other relevant skills in
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an engineer with biomechanical or other relevant skills in inflammation and pathology, though with experience of handling large datasets. About the School The School of Engineering and Materials Science (SEMS
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to completion) in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, Physics, or a related discipline. You should have strong knowledge of reacting flow physics, combustion
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About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to