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along the Booster Neutrino Beamline at Fermilab, USA. Each detector in the SBN programme utilises the liquid argon time projection chamber (LArTPC) technology. The main goal of the SBN programme is to
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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) (Apprentice and non apprentice) training programme across our partnerships of regional health care employers. This Clinical Educator post works with tACPs within their clinical placement settings and on study
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Unsteady Turbulent Flow in Turbomachinery School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof S He Application Deadline: Applications accepted all year round
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Marco Valentino, Prof Nikos
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Development and validation of control strategies for flexible and demand-driven anaerobic digestion School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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AI-Enhanced Healthcare - Leveraging Multimodal Data Integration for Impactful Innovation School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Mohammad
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Improving Deep Reinforcement Learning through Interactive Human Feedback
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Development of new materials for additively manufactured turbomachinery components operating in oxygen-rich environments School of Electrical and Electronic Engineering PhD Research Project Directly