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Field
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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 | 13 days 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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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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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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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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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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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Dementia is one of the most important public health challenges of our time. Current approaches to dementia risk...