362 parallel-and-distributed-computing positions at University of Sheffield in United Kingdom
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data science, computer programming, simulation modelling, ecological theory and climate science, with the potential for fieldwork or ecological experiments in Australia. We welcome applications from
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Funded UK Students Dr Alistair John, Prof Viktor Fedun Application Deadline: 20 June 2025 Details R2T2 is a UKSA-funded doctoral training programme dedicated to academic research in rocket propulsion
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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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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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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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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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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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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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parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. The successful applicant will have