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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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Funding Source: Warwick Industrial Fellowship (WIF) in partnership with Hydrograph Eligibility: UK only Supervisors: Professor Tony McNally, Dr Fengzai Tang Supporting Company: Hydrograph (see Home
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This PhD programme of work, supported by HTC Health LTD in collaboration with Manchester Metropolitan University, aims to explore the multi-organ communication pathways of the gut, specifically
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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subject. This studentship will attract a stipend of £20,480 for four years. The position arises from an engineering research relationship developing between the University of Nottingham and ITP Aero UK. The
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rest, will be combined with detailed in vivo human physiology techniques in healthy volunteers. Methods may include stable isotope tracers, blood and muscle biopsies, imaging (ultrasound, MRI, DXA), and
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exascale computing, including development of tools for analysis of large data sets. For more information about recent projects see www.southampton.ac.uk/people/5wz5fh/professor-neil-sandham We
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background and an interest and expertise in physical, computational and/or analytical chemistry. Please note that this is a 4-year Graduate Teaching Assistant (GTA) studentship, with a slightly higher teaching
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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a