64 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" research jobs at University of Oxford
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gravitational waves. This is a joint position between the University of Oxford and Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo, structured such that the first 18 months
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We are seeking a highly motivated Research Assistant to join Professor Thomas Bowden’s group within the Division of Structural Biology. Funded by CEPI, this exciting role focuses on integrated X-ray
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outer membrane protein biogenesis in the group of Prof Ben Berks FRS. Building on our recent work in this area (Nature (2015) 647: 479-487) you will carry out structure-function and molecular
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band structure and exciton binding energies, as well as their vibrational and transport properties. This role will utilize several state-of-the-art computational modelling techniques, in particular
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data
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design, development and execution of biochemical and biophysical assays to identify and evaluate inhibitors targeting mycobacterial proteins. Working closely with chemists, structural biologists
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behaviour, market microstructure, and platform economics to generate testable predictions and policy insights Develop and estimate structural models of trading behaviour to understand deep parameters and
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congenital heart defects and structural diversity across populations and species. In doing so, we aim to identify novel approaches to diagnose and repair structural defects of the heart wall and septa. We use
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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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to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning