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Field
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maintenance of a viable research program. The candidate's research program should contribute to the areas of parallel scientific computing, with experience in several of the following areas: mesh generation
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collaborating with a small team at Imperial College led by Dr Edward Johns, as well as a larger team across the UK as part of the ARIA-funded Robot Dexterity programme (see: https://www.aria.org.uk/opportunity
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management of a state-of-the-art medical imaging research data center. The environment includes a robust multi-CPU/GPU architecture with virtual and physical servers, supporting advanced parallel computation
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visualisation, and programming languages like Python or R, along with understanding of data management and machine learning; exemplary experience and confidence in undertaking all aspects of stakeholder
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. The candidate will be embedded within this program, working in parallel with a multidisciplinary team designing a ruggedised mobile CT scanner in collaboration with Micro-X Inc., while engaging closely with
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. Other responsibilities include method development-modification-parallel testing, collaboration on or preparation of abstracts or manuscripts, repair of laboratory instruments, sample processing, reagent
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and dissemination
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new treatments and therapeutic interventions for nervous system disorders. We develop programs to link with clinical and neurosurgical patient work, which strongly aligns with the vision of Newcastle
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Computing (HPC) knowledge around cluster builds, software, parallel computing, workload management, and cluster management. Knowledge with CUDA Programming Workflows, GPU programming, and GPU support