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accessible AI. Project aims and objectives The aim of this PhD project is to develop principled and efficient methods for multimodal learning under resource constraints. The research seeks to understand how
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International Learning) running across the institution to develop a novel AI-XR prototype. The successful candidate will have the unique opportunity to drive the development of a novel AI-XR curriculum framework
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into the organisation's sustainability strategy. What you’ll do: Scope and categorise additive manufacturing waste in F1 motorsport to inform target waste streams with recycling potential. Develop solutions for AM waste as
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predict the hair line. Design a classification algorithm to quantify the hair loss severity. Develop a mobile phone app as point of care for people with alopecia. Evaluate novel AI assessments using
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-Allah and Dr David Sawtell, which has been developed through a Royal Society Research Grant and a proof-of-concept fund to further investigate new methods for improving the energy efficiency of the plasma
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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have developed a human ‘brain-on-a-chip’ model that faithfully recapitulates the neurovascular unit, where neurons interface with the vasculature in the brain. You will use CRISPR gene editing