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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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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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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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EngD in Enhancing Fusion Engineering with Augmented and Virtual Reality and Digital Twins
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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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development of protocols for commercial deployment (supported by Detectronic ). There will be significant opportunities for personal development including a residential programme at Ashorne Hill to further
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Health programme (Chief Investigator, Dr Matthew Franklin ) to evaluate the (cost-)effectiveness of mental health treatments used with Talking Therapies for anxiety and depression services using NHS real
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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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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 Mohamed Pourkashanian, Dr Kevin Hughes, Dr D Poggio Application Deadline: Applications accepted all...