121 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Bristol in United Kingdom
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The project: The High Performance Computing (HPC) services of today provide the computational density to perform groundbreaking science. These services facilitate the distribution of a problem space
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute
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Are you a talented individual with experience in Quantum Optics, Atomic and Molecular Physics, Solid State Quantum Systems, or Quantum Memories? Join our team working on single molecule quantum
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, Algebraic Geometry, Combinatorics, Data Science, Number Theory, Probability, and Quantum Computing. Fellows have previously been appointed with backgrounds in most areas of Pure Mathematics and Statistics
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interest, for example, is the recycling of heat waste energy generated by the electronic chip, however you will also assess overall heat transport within the chips, their packaging and systems. You will use
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of the programme. This will entail some autonomy in decision-making and a high degree of skill in working with a wide range of stakeholders in both academic and community settings. They will co-ordinate and develop
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interfaces or related areas, with high quality publications in leading venues. • Experience designing, building or experimenting with interactive hardware, physical computing systems, or computational
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-efficient AI or video communication, along with training and development provided by our team, you will: Build models of the environmental impacts of current and future high-bandwidth network and AI services
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Bristol’s industrial and academic culture. Bristol has been a major UK centre for high-performance computing, and has strengths in numerous related architecture-facing disciplines, including but not limited
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of wind turbine blades and wind turbines, and LMAT, a specialist SME in composites process modelling. The project focuses on the design, manufacture and performance of next-generation wind turbine blades