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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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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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: Solid-state materials chemistry, Solid-state electrochemistry (including EIS and electrochemical modelling), Characterisation of air and beam sensitive materials and interfaces in solid-state batteries
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, validate, troubleshoot, and perform relevant assays to interrogate dysregulation induced in iPS-microglia by exposure to material from Alzheimer’s brains. This will require standard cell and molecular
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View All Vacancies Reference: UOH-TA-0196 Campus: Hull and/or York Faculty/Area: Faculty of Health Sciences Subject Group/Team: Hull York Medical School Salary: £38,205 to £44,263 Post Type
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each participating centre to ensure planned activities are conducted in line with the programme timetable, and c) contributing to collating and analysing material and data generated by the INTREPID III
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are shaping and leading debates globally. We will continue to engage concepts and materials from across disciplinary boundaries to renew geographical scholarship and bring geographical perspectives to bear in