80 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at University of Oxford
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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complemented by biochemical and, where appropriate, structural methods. The successful candidate will be expected to work independently while contributing conceptually to the overall research programme. This
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, contributing to cutting-edge research with relevance to human health. You will support ultra-structural imaging experiments using cryo-imaging techniques such as cryo-SIM and cryo–X-ray tomography, alongside
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the first instance Hours: Full Time (37.5 hours per week) About the role We are seeking a highly motivated individual with expertise in structural biology and biochemistry to join the lab of Prof Dmitry
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2025). Our microchip-based escape-time technology platform now enables measurements of the physical properties of macromolecules such as their electrical charge, size and 3D conformation with
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Applications are invited for a Postdoctoral Research Associate with expertise in optical spectroscopy, structural characterisation techniques and modelling applied to next-generation semiconductors
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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices
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on the PRISM-MTZ project funded by NERC. This project aims to quantitatively image the bulk structure and discontinuity topographies of the mantle transition zone (MTZ), to quantify trade-offs between
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, with a particular focus on predicting nuclear magnetic resonance (NMR) parameters and using these predictions to inform structural models. The successful candidate will parameterise and validate machine