33 computer-science-image-processing PhD positions at The University of Manchester in United Kingdom
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example of universality, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within
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. Applications are invited for a full time EPSRC Industrial Doctoral Landscape Awards (IDLA) PhD studentship in research on Optimisation of thermomechanical ageing processing: influence of quenching and pre-ageing
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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This 3.5 year PhD project is fully funded by the Department of Chemistry (DTP). Home students, and EU students with settled status, are eligible to apply. The successful candidate will receive
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early as the advert may be removed before the deadline. High-dimensional computations are ubiquitous in science and engineering, often arising from models with numerous parameters. For instance
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their reliable operation, stagnating progress in scientific computing. While quantum effects threaten the continued scaling of classical computing, quantum computers are designed to exploit these effects
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some
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lifetime to create a sustainable future. To date much attention has been given to the recycling of plastic packaging but there is a lack of understanding about the required processes for engineering plastics
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manufacturing adaptive clothing at scale. This PhD project seeks to address that gap by developing an engineering-led framework for adaptive and inclusive apparel design. Bringing together design process thinking
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Mativenga (UoM), has extensive expertise in laser materials processing. Dr Chu Lun Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and