36 post-doc-image-processing PhD positions at University of Nottingham in United-States
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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with participants to deliver measures concerning people’s experiences of the diagnostic process, their access to services and their general well-being and life quality. The positions are ideal for people
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at the Biodiscovery Institute at UoN, a multidisciplinary centre with advanced laboratory and imaging facilities Access to a full range of equipment and laboratory facilities. Inclusive and supportive lab culture with
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or joining thin-wall Titanium and Nickel alloys at high temperatures. Due to the unique material behaviours of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded
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Manufacturing processed NAB material and any post-processing requirements to match and/or exceed the properties of traditional cast/heat-treated NAB. You will have the opportunity to develop a Digital
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Environment: Based at the Biodiscovery Institute at UoN, a multidisciplinary centre with advanced laboratory and imaging facilities Access to a full range of equipment and laboratory facilities. Inclusive and
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. We welcome applications from UK, Europe and from across the globe. Please contact Dr Anna Bloxam via email anna.bloxam@nottingham.ac.uk for further information regarding this post. Please note that
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reduce primary care consultations during recovery from pneumonia, compared to standard of care alone; 3) To measure Quality of Life in a representative cohort of patients post-discharge – this will inform