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for enhanced disease prediction and novel treatment target discovery.’ The primary aim is to leverage imaging and genetics to identify novel treatment targets for osteoarthritis. Applicants are sought who have
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writing up projects. This role focuses on quantifying and genetically mapping variation in brain composition. You will exploit existing data on samples of hundreds of fish, using DICE-CT and advanced image
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acoustic properties of the highly intricate 3-dimensional double-layered nano-porosity of moth wing scales aiming to add their functionality to existing prototype designs. The research will take place
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intricate 3-dimensional double-layered nano-porosity of moth wing scales aiming to add their functionality to existing prototype designs. The research will take place at Bristol University led by Professor
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microscopy techniques (e.g., super-resolution imaging) Excellent publication record Track record of delivering (inter)national presentations Successful supervision of post-graduate stude For informal enquiries
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AUGMENT (https://www.ukbiobank.ac.uk/enable-your- research/approved-research/automated-generation-of-musculoskeletal-phenotypes-from-the-uk- biobank-extended-imaging-study-augment-study); application
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experience with biophysics (MST, SPR, SEC, fluorescence anisotropy) Have experience with cryo-EM and image processing Have experience with RNA-protein complexes Have a basic knowledge in translational control
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methods for on-sensor computer vision. Specifically, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding
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echocardiography, and analysing samples, e.g. by imaging, biochemical and molecular biology techniques. You will also conduct in vitro experiments on human coronary microvascular endothelial cells, including the use
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hardware, quantum communications, enhanced sensing & imaging and new platforms to investigate fundamental quantum physics. The Research Centre consists of over 100 academics, researchers, staff and students