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Summary Positioned within Ulster University’s School of Computing, this research theme explores the integration of artificial intelligence with quantum technologies to advance next-generation
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the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant REMODEL: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will
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parallel project into microbial consumption of hydrogen in the subsurface. Both departments are part of the Faculty of Science and Engineering at The University of Manchester, which hosts world-leading
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of the computing infrastructure that powers both data and computer intensive research. From high-performance computing clusters and parallel storage to data management and automation tools, you’ll help shape and
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integration with classical HPC; accelerator platforms and accelerated computing; parallel, distributed, and HPC programming models and languages; software design, verification, and optimization; energy
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infections. In addition, recent advances in massively parallel cell tracking now make it possible to address long-standing questions about how bacteria have adapted to survive in unpredictable environments
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on biomedical engineering, biophysics, and brain research. We combine experimental and computational methods and develop algorithms, as well as new technologies to tackle major problems in human well-being and
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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure