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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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on electromagnetic motors, pumps, or compressed air systems. However, motors are often bulky, heavy, and rigid, while fluid systems are typically tethered and inefficient. There is an urgent need for untethered soft
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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