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phenotyping: You will use remote sensing technology to monitor plant stress use microscopy to visualise root interactions with soil fungi. Computational skills: You will receive training in advanced statistical
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, University of Sheffield Background info to the programme We are delighted to invite applications for a fully-funded three year PhD studentship hosted in Plants, Photosynthesis and Soil (PPS) research cluster
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for training followed by validation and testing on unseen datasets including local cases. Correlation of the computational features with other clinicopathological variables, behaviour and survival will also be
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Improving Deep Reinforcement Learning through Interactive Human Feedback
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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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phenomena. The project will contribute to numerical method development as well as new understanding of flow physics and will make use of high performance computing (HPC) and advanced computational fluid
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Programme and Masters in Physician Associate Studies Programme, both of which are informed by the General Medical Council (GMC). You will be required to work closely with the Patient as Educators team
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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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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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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