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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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to detect anomalies in evolving data. Some of them consider scenarios where streaming objects with one or multiple features have causal/non-causal relationships with each other which can be represented as
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-SofT project, the recruited person will: - design novel algorithm for large-scale block-sparse tensor computations that are suited for massively parallel accelerated supercomputers. - investigate the use
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities Willingness to provide training
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to computational problems Ability to code in a programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set
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to researchers. Strong writing skills, with attention to structure, precision, and consistency. Comfort working with multiple partners, evolving project contexts, and parallel deadlines. Full professional
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solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities Willingness to provide training to staff and
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Primary supervisor - Dr Zoe Venables Immune checkpoint inhibitors have transformed cancer care and are now integral to treatment pathways across multiple tumour types, with melanoma representing one
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel