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these positive early results to develop a range of doped scintillating glass and glass-ceramic monoliths and fibres. The PhD will focus on two parallel objectives: (i) developing multiple glass or glass-ceramic
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modelling framework developed in Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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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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: Nonlinear dynamical systems modelling Large-scale simulations and high-performance computing Parallel programming and optimisation techniques These are high-value skills with applications across academia
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device efficiency. There will be an opportunity to learn the tools required for parallel computing using graphical processing units. This will be used to maximise the computational throughput to enable
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BBSRC Yorkshire Bioscience DLA Programme: Engineering Stomata: How Shape Informs Function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Andrew Fleming, Prof
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BBSRC Yorkshire Bioscience DLA Programme: How do cells coordinate nutrient scavenging pathways? School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Jason King, Dr
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Shifting bits: Adaptive numerical precision for GPU software in particle physics and beyond (S3.5-COM-Richmond) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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. To investigate this, we will follow two parallel and complementary paths: conducting experiments in the laboratory and using powerful computer simulations. This combined approach allows us to see both the big