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within high-performance computing (HPC) environments. In parallel, the postholder will undertake the bioinformatic analysis of NGS datasets, generating the data and insights required to inform and
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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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. Experience of quantum chemical modelling, programming, and automation of experiments may also come in useful. Developing a strand of research to incorporate spectroscopic studies in parallel to the existing
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research software. Applicants should demonstrate strong expertise in scientific programming, parallel computing and high-performance research software. Experience with Fortran and/or C++, MPI/OpenMP and
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ensure the most efficient use of available resources. HPC Storage Performance : Work with the HPC team to ensure parallel file systems remain performant, diagnosing issues associated with intense or
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ensure the most efficient use of available resources. HPC Storage Performance : Work with the HPC team to ensure parallel file systems remain performant, diagnosing issues associated with intense or
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density functional theory. Refereed publications in these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel
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national and international leading academic institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030
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parallel research undertaken in both 5G+ and 6G for 2030+. About you Strong research expertise in one or more areas directly relevant to ISAC, such as channel modelling, radar/sensing signal processing, MIMO
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institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. The post holder must have expertise in the following