23 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY" PhD positions at University of Nottingham
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                on atomic scale, requiring the development and study of ever more realistic model systems. Single atom catalysts, where the catalytic site contains only a single metal atom supported on a heterogenous 
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                to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor 
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                We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device 
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                respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug 
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                or temperature. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of electro-responsive soft-actuators. The overall aim is to develop and exploit new designs 
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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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                ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions 
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                power generation companies—to develop robust methodologies for investigating failure mechanisms in CFRP sleeves. Your contribution will help prevent catastrophic magnet detachment and significantly 
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                , an innovative low-pressure airtightness testing technology co-developed by the University of Nottingham and Build Test Solutions Ltd (BTS). This is a fantastic opportunity to work towards a PhD whilst working 
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                the University of Nottingham. This project aligns with Rolls-Royce’s technical needs to develop automated and hybrid tooling solutions for in-situ/on-wing repair and maintenance of gas turbine engines