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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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Improving Deep Reinforcement Learning through Interactive Human Feedback
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materials as an addressing these challenges. A large experimental research programme is now attempting to explore these materials further and develop them for use in devices. To underpin this research we need
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Proven experience in portfolio/programme management with demonstrated team leadership, and successful implementation of portfolio
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computer program that will compute the cohomology of arithmetic groups for GL(2) over a definite rational quaternion algebras together with Hecke action. The second objective is to use this program to carry out
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Electron Beam Powder Bed Fusion Additive Manufacturing (AM) through the use of thermodynamic and process model informed edge compute closed-loop control systems. Focusing on thermal compensation within
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within and aligned to the core substantive spine of our undergraduate Politics and International Relations programme. The School provides an inclusive, pluralist and friendly place to work. We are also
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. You will play a key role in a new project using big datasets and innovative computational approaches to identify genetic regions regulating splicing and gene expression, and investigating how disruption
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and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The field of environmental data analysis has seen