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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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inaugural Centre Director, Professor Miratul Muqit, FRSE FMedSci, the PRC will adopt a distributed, network structure, with researchers hosted in leading universities across the UK. We are now seeking to
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opportunities, including hybrid working for some roles. ● Generous pension scheme. ● A wide range of discounts and rewards on shopping, eating out and travel. ● A variety of staff networks, providing
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This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
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, New York State's capital, the University is convenient to Boston, New York City, and the Adirondacks. Job Description: The Center for Technology in Government (CTG UAlbany) at the University at Albany
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK