34 algorithm-development-"Multiple"-"Simons-Foundation" PhD positions at University of Nottingham
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of Pharmacy. The project will focus on the synthesis of polymers that resist the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g
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of Pharmacy. The project will focus on the synthesis of polymers that resist the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g
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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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the perfect environment to carry out high-impact research that can genuinely shape the UK’s Net Zero future. This is your opportunity to create breakthrough materials for clean energy technologies and develop
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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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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms