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Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications. High
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computing for computational fluid dynamics applications. High-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid
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About the role Our School of Computing and Mathematical Sciences are seeking an Associate Professor in High-Performance Computing, who will join the eponymous group led by Prof. Ashiq Anjum
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AI and ML are transforming electronics, automation, and intelligent systems, driving advancements in secure, high-performance, and adaptive technologies across industries. This self-funded MSc by
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-holder will oversee the women’s squads, coordinate assistant coaching support, and work collaboratively with sport science support staff and academic services to foster a high-performance, student-centred
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the men’s squads, coordinate assistant coaching support, and work collaboratively with sport science support staff and academic services to foster a high-performance, student-centred environment. About the
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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and our cloud-based systems. This hybrid role requires a deep understanding of GPU technologies, cloud platforms, and high-performance computing. You will work closely with various teams to support