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Energy! This role Directs and manages the University’s Utilities and Energy operations, including the Energy Management program. Why Should YOU Choose Auburn University? Auburn University was named a “Best
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in a High Performance Computing environment. To collaborate with and support our customers, this engineer must have demonstrated a consultative customer service attitudes in prior roles in similar
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to develop advanced algorithms, parallel computing capabilities, and software engineering of Green’s function based multiple-scattering code for computing the electronic structure and energetics
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! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). The Emerging
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of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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| Sustainability and Engineering | SEEDS Sustainability Program Compensation Range $5,365.42 - $7,709.92 CAD Monthly The Compensation Range is the span between the minimum and maximum base salary for a position. The
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evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing, distributed systems, and optimization. Analytical skills, problem-solving
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on several aspects to explore in parallel: - Develop the experimental set-up to enable Low-Energy SAXS measurements on Attolab’s set-up (through punctual mission (2 or 3 times a year for 1 to 2 weeks
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months 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