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equivalent technical qualification and training gained from within an industrial setting, within a relevant technical field, e.g. engineering, robotics, chemistry, materials science.
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about the O’Hare research group here Find out more about the Steier research group here About you Applicants must hold a PhD in Materials Chemistry or a related area, (or be close to completion) before
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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1st
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chemistry, chemistry, extractive metallurgy, material science, mineral engineering, or chemical engineering. Informal inquiries are welcome and should be made to the Principal Investigator, Professor Yousef
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needs and individual circumstances. Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mathematics, Physics, Chemistry, Materials Science or
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(or be about to obtain) a PhD in physical or materials chemistry, with experience of surface reaction chemistry. Click the 'Apply' button below to register an account with our recruitment system (if you
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opportunity to join the Wolfson School of Mechanical, Electrical and Manufacturing Engineering as a Research Associate in Cyber-Physical Digital Validation of Multifunctional Materials and Structures We
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manufacturing methods, and develop novel structural/material systems, in the context of sustainable soft robotics. We are looking for an exceptional individual with a strong science and engineering background and
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and produce necessary amino acids and growth factors for mammalian cells. You will hold a PhD/Dphil or be near completion* in Chemical/Biochemical Engineering or a closely related field, together
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. Applicants must have (or be about to receive) a Bachelor or Masters' Degree in Physics, Chemistry, Materials Science, or a related subject. The ideal candidate will have experience in code development and/or