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Field
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computational experience, preferably on HPC systems with knowledge of parallelisation techniques and GPU programming. You will be expected to plan your own research, with guidance if required, and to assist in
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of education and experience totaling four [4] full-time years may be considered. (Student experience may be considered.) Two (2) years of full-time directly related programming or systems
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of education and experience totaling four [4] full-time years may be considered. (Student experience may be considered.) Two (2) years of full-time directly related programming or systems
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with the domain of optical material behavior acquisition at a decent pace. What you bring to the table Very good C++ programming skills GPU & Shader programming, ideally knowledge of PBR (Physically
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electromagnetic engineering problems. Programming experience in C/C++ and GPU is desired. Other qualifications being expected are as follows. Good analytical and problem-solving skills; Good analytical and
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Shifting bits: Adaptive numerical precision for GPU software in particle physics and beyond (S3.5-COM-Richmond) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent
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, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise professional development of direct reports
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Domain-specific accelerators, e.g., GPUs, tensor cores, dynamic programming instructions (DPX) Software accelerators, e.g., DPDK, eBPF System security and Software Bill of Materials (SBOM) AI/ML
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300