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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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Area Engineering Location UK Other Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
This is a fully-funded 4 year PhD offering an annual tax-free stipend of £20,780, tuition fees and an enhanced research and training grant. This PhD is one of a number of projects hosted by the Centre for Doctoral Training in Green Industrial Futures (CDT-GIF ). We are offering pioneering...
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This PhD project will focus on developing AI-based methods to accelerate the Swansea University in-house discontinuous Galerkin (DG) finite element solver for the Boltzmann-BGK (BBGK) equation
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devices, promoting sustainability across sectors through a holistic LCA-based design philosophy. These could empower industry, academia, and policymakers to make informed decisions, accelerating progress
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scientists, cell biologists, bioimaging specialists and physicists, as well as a postdoc with a specific background pitcher plant development, transcriptomics and bioinformatics. Supported by this expert team
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research group with a broad interest in plant biomechanics, ecology, development and evolution. A supervisory team comprising a plant scientist, a cell biologist and a physicist, as well as two postdocs with
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resistivity. The aim is to accelerate the commercialization of next-generation sodium-ion batteries. This scholarship covers the full cost of tuition and annual stipend at standard UKRI rates (currently £20,780
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A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in the Department of Computer Science and Technology at the University