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integrate linear and circular processes, enabling used products to be transformed into new generations. What you will do Implement GPU-accelerated Gaussian Mixture Model (GMM) learning in PyTorch Optimize
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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in
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within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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Requirements: The candidate must be able to demonstrate a deep knowledge of supercomputing software development for massively-parallel computer architectures, and expertise in working with large-scale software
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Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. The employee is to communicate with any relevant stakeholders (internal
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quoting reference number 8109. Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. The UNSW Selection Panel will meet to decide upon a final
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academic institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you We are looking for a candidate with
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-starter, comfortable with building and shaping a new role and managing a range of tasks and activities in parallel, under the direction of the Director. You'll have strong communication skills and prior