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About the role We are seeking a full-time Postdoctoral Researcher to join the Oxford Secure and Advanced Computer Architecture Research (OSCAR) group at the Department of Engineering Science
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
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approaches including live-cell fluorescence microscopy, cryo-super resolution structured illumination microscopy (SIM), and cryo-electron/X-ray tomography. You will lead research into antimicrobial responses
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earthquake engineering problems, preferably with a focus on liquefaction of sands. Informal enquiries may be addressed to Prof. Orestis Adamidis (email: orestis.adamidis@eng.ox.ac.uk) For more information
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of this type within the department. Please direct informal enquiries to the Recruitment Coordinator (email: recruitment@maths.ox.ac.uk), quoting vacancy reference 182093. Applicants will be selected
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
important real-world problems through rigorous and ambitious academic inquiry. Informal enquiries may be addressed to Prof. Lucia Corsini (email: lucia.corsini@eng.ox.ac.uk) For more information about working
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instrumentation often located at synchrotron facilities. We have recently developed operando cells which can perform XPS measurements at > 1 bar pressure by using graphene membranes as X-ray and electron
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic