916 materials-science-"University-of-California,-Santa-Cruz" positions at University of Oxford
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About the role Applications are invited for a Postdoctoral Research Associate in Inorganic Materials Chemistry to work under the supervision of Professor Ludmilla Steier for a period of up to 36
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matrix composite cladding material concepts for ATFs (accident tolerant fuels) by highly innovative material tailoring. You will undertake numerical modelling work to simulate damage propagation in
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energy system (see https://zero.ox.ac.uk ). The foundation of the institute includes new academic posts in the departments of Materials, Engineering Science and Geography, and as one of six initial
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for the MSc and MPhil in Visual, Material and Museum Anthropology (VMMA) postgraduate degrees and teaching/research activity at the Pitt Rivers Museum (PRM). The programme consists of a one year MSc and a two
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We have an opportunity for a highly motivated Assistant to join the Technology Platforms team within Centre for Human Genetics here at the Nuffield Department of Medicine. Your primary role will be
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Grade 5: £28,759 - £33,966 per annum Permanent, full time The Programme Teaching Materials Administrator will coordinate the delivery of digital teaching materials for a portfolio of accredited
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Grade 4: £25,138 - £28,759 per annum pro rata Fixed-term contract for 1 year, part time 0.6 FTE As the Collections and Instructional Materials Assistant within the Saïd Business School's Sainsbury
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of the Inorganic Chemistry Section. The post-holder will develop and deliver material for the for the new Oxford/EPSRC Centre for Doctoral Training in Inorganic Materials for Advanced Manufacturing (IMAT); Home
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We are seeking a full-time Postdoctoral Research Assistant to join the Control Group at the Department of Engineering Science in central Oxford. The post is funded by the Engineering and Physical
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imaging brain function that uses the new technology of Optically Pumped Magnetometers (OPMs). You will primarily help develop and apply new machine learning methods for analysing data from the OPM-MEG