10 electrical-and-computer-engineering-phd PhD positions at The University of Manchester
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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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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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engineering wake models to mesoscale simulations with wind-farm parametrisation, when predicting wake effects and thus annual energy production. The student will improve current models used by industry such as
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characterisation in-situ. This PhD project will investigate fundamental factors that drive electrical tree growth using this methodology. The research will conduct comprehensive measurement of under precisely
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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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Deadline: All year round How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is open to home students; the successful candidate will receive an annual tax free stipend
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). Preference will be given to candidates with a background in electrical engineering and a strong interest in undertaking experimental activities. The candidate is expected to have regular meetings with Siemens
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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- zahra.mobini@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
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, this platform has potential applications in broader tissue engineering contexts, including implantable biomaterials, wound healing, and regenerative therapies for age-related conditions. This 3.5 year PhD project