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Field
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of this PhD is to use optical flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and
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relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases
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, dedicated to generating original knowledge and understanding of air and space power issues. FASI places a priority on identifying, developing and cultivating the next generation of air and space thinkers in
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Research theme: Catalysis and porous materials This 3.5-year PhD is fully funded by The University of Manchester. Tuition fees will be paid and you will receive an annual tax free stipend set at
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of solar energy production. To tackle this issue, the newly established Prediction and Optimisation of Solar Energy Systems Lab (POSES lab) at the University of Nottingham (supported by the University
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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Do you want to work with healthcare data and develop your data science skills? Do you want to make a difference in healthcare by understanding the reasons why an implant fails or succeeds? Around 1
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Supervisor details: Lead Supervisor Vinicius Henrique De Oliveira, v.deoliveira@reading.ac.uk , School of Agriculture, Policy and Development Co-supervisors Mark Tibbett, m.tibbett@reading.ac.uk
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and diffusion of gases/vapours. This project will investigate and develop methodologies for understanding the key relationships between fundamental materials properties (degree of crystallinity, extent
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The overarching aim of the project is to understand how early neurodevelopmental risk factors disrupt brain maturation and contribute to psychosis vulnerability across development. This PhD project