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this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure
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-performance computing, including parallel or GPU programming (MPI, OpenMP, CUDA, Kokkos, etc.) Familiarity with modern software development practices, including debugging, profiling, and version control
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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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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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
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available. Salary based on course contract. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18
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distinct individuals with varied interests, needs, and abilities. Salary based on course contract. Campus and hours vary. Minimum Qualifications University Parallel: Master’s degree in the discipline or
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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