386 parallel-and-distributed-computing-"Multiple" positions at University of Sheffield
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development of protocols for commercial deployment (supported by Detectronic ). There will be significant opportunities for personal development including a residential programme at Ashorne Hill to further
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. This paves the way for the application of MPC to large-scale systems, since the computational bottleneck is removed. The basic challenge is how to coordinate the distributed decision making of agents so that
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Status, distribution, and dynamics of marine biodiversity School of Biosciences PhD Research Project Self Funded Dr T Webb Application Deadline: Applications accepted all year round Details Marine
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Overview This position is funded as part of an £8M EPSRC programme grant “Networks of Cardiovascular Digital Twins (CVD-Net) ”, which is jointly held by Imperial College London, the Universities
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
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complexity, classical control techniques cannot be easily applied because of computational bottlenecks or an absence of suitable prediction models. Distributed control approaches have been conceived to handle
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at the intersection of molecular biology, computational science, and translational oncology, contributing to cutting edge research in the pathology of head and neck cancers. Led by Professor Ali Khurram
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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Computational analysis of the flow through aerofoil cascades School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof
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of the next generation of multiple-criticality control architectures will allow almost unlimited off-board computational power to be used to optimise operational decision-making in near to real-time