36 algorithm-development-"LIST"-"CEA-Saclay" PhD positions at University of Nottingham
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of Nottingham but also work closely with collaborators at e.g. University of Cambridge, Newcastle University. The aim is to develop and understand a new reaction scheme for ammonia combustion with reduced
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the specific challenges of the individuals they support. This research project aims to improve the experience of both carers and residents in Nottinghamshire care homes by developing personalised digital avatars
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to develop a comprehensive modelling and analysis approach for hydrogen systems, such as electrolysers and their BoP systems, in meeting some of the below challenges in: advanced diagnostics and prognostics
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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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they support. This research project aims to improve the experience of both carers and residents in Nottinghamshire care homes by developing personalised digital avatars. These avatars will represent realistic
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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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-developed research support base including NET2Zero CDT, and EPSRC Centre for Doctoral Training in Resilient Chemistry: Feedstock to Function. The research programme will use a mixture of computational
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into their structure. However, we don’t yet know how to design these complex printed parts and we are still developing new leading-edge materials to grant them new capabilities. Advantages: In this PhD studentship, you
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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