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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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, memory, and energy requirements. The successful candidate will explore novel algorithms and model-design strategies that allow AI systems to operate effectively on edge devices, clinical environments
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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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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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of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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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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of expressing dementia, particularly those that may not be well understood in typical Western training models. For example, some residents may show signs of distress or confusion in ways shaped by their language
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, to inform and enhance drug optimisation. Employ machine learning to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Contribute to interdisciplinary