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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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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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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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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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Sargent, Hawkesbury Institute, WSU Dr Robert Sharwood, Hawkesbury Institute, WSU Dr Stuart Casson, University of Sheffield Background info to the programme We are delighted to invite applications for a
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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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Environmentswithin the EC Horizon programme. The project includes 21 partners in 5 countries coordinated by Tampere University. The UK team includes the University of Sheffield, Sheffield Hallam University and
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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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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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. 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