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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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presents a number of geotechnical challenges. By modelling this storage facility in one of the UK’s leading geotechnical centrifuge testing laboratories, this project will overcome these issues - such as
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Working hours: Full-time (minimum 37.5 hrs per week). Working style: Primarily in-person at host
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dementia care scenarios based on the unique needs and backgrounds of residents in each care home. The project will work closely with carers, care home staff, residents’ families, and community organisations
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physiologically relevant models e.g. human airway epithelial air liquid interface using cells isolated from different patient groups combined with molecular biology approaches to mechanistically determine the key
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these advanced systems still rely on old technologies based on standard glass lenses and components which are bulky and have limited capabilities. Metamaterials are artificial materials that use digitally-arranged
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) models for laser-material interaction, gas dynamics and phase change Implement GPU-efficient algorithms and meshing strategies for substantial speed-ups Validate against MTC laser drilling use-cases and
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highly customisable multiphysics CFD framework for laser drilling and integrate it into accelerated industrial workflows. You will: Extend XCALibre.jl with new (traditional and/or AI-enhanced) models
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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