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Field
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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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moderately complex algorithms. Performs scientific modeling with parallel simulations on HPC machines, including testing/debugging software. Applies effective programming security practices. 50% Executes test
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clinical settings and working to identify and deliver opportunities for engagement and collaboration within the university and beyond. The ability to contribute to research impact, program innovation
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TRINITY COLLEGE - THE UNIVERSITY OF MELBOURNE | Melbourne, Victoria | Australia | about 19 hours ago
School is home to the renowned Trinity College Foundation Studies Program, preparing international students for entry into the University of Melbourne and other leading universities. The Theological School
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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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Parallel Systems. We seek individuals who can play a leading role in developing and delivering our programs. You are expected to teach modules in within the Computer Science BSc and MSc curricula, such as
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include modelling, floating point computations, molecular dynamics, fast Fourier transforms, solving partial differential equations, parallel programming concepts, and hybrid programming. Students
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individual with a strong academic background and an interest in teaching and research. The role combines practical experience in academic delivery with enrolment on a fully funded MPhil programme, with
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ways to improve. Build and manage CI and CD tools. Assist users with program compilation, commercial and public domain software installation, and use of Linux tools. Configure, administer, and
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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