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cells, most notably immune cells. This project will investigate how cells coordinate these parallel nutrient scavenging approaches. The aim is to uncover the molecular mechanisms by which they talk
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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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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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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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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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, breakthroughs increasingly depend on the ability to process vast amounts of information quickly and efficiently. But as our appetite for computing power grows, so does its cost both in terms of money and
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) charging of the states occurs at a rate that is much faster than could be achieved if all the states were not coupled, but were charged in parallel. There is intense excitement in such a technology, as it
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, processing rules, access, security and audit controls. You will assess associated risks, and specify recovery routines and contingency procedures. You will also assist with the translation of logical designs
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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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