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Field
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algorithms * Parallel algorithms and distributed computing * Parameterized complexity and structural graph theory * Random structures and randomized algorithms * Sublinear and streaming algorithms
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increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral part in the group's
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. Strong scripting skills (e.g., Bash, Python) to automate tasks, develop tools, and streamline workflows. Comprehensive understanding of HPC infrastructure, cluster management, parallel computing, and
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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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: 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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Research Software Engineer ( Job Number: 25001271) Advanced Research Computing Grade 7: - £38,784 - £46,049 per annum Open-Ended/Permanent - Full Time Contracted Hours per Week: 35 Closing Date : 21
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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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