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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
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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regularly maintained for continuous integration. Optimize HPC Workflows: Collaborate with computational scientists to optimize parallel computing workflows and port research tools to high-end computing
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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are selected from across the US and around the globe. A parallel program, PROMYS for Teachers, provides secondary teachers from mostly the US with a similar immersion in mathematics. A third program, PROMYS
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Strategy relies on solid digital foundations, and the Cloud Enabling and Agresso Re-platforming (CLEAR) programme represents the next major phase of its delivery. The vision for the programme is: “To ensure
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to optimize computational workloads, data movement, and parallel processing. Trains scientists on using the cluster effectively for AI workloads. Optimizes, deploys, and maintains robust software to support
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) environments, parallel computing, and scientific computing workflows is highly desirable. Familiarity with DevOps practices, CI/CD pipelines, version control systems (e.g., Git), and Agile methodologies
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Do you have an interest in computational research and writing code? Do you want to help enable and advance pioneering social science research? If so, Princeton University's Data-Driven Social