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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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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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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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. 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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, 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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. 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
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Communication Systems. This exciting opportunity will see the successful candidate undertake a range of Research and Development (R&D) activities in the field of Signal Processing for Future Communication Systems
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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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