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enterprise-scale High-Performance Computing environments using NVIDIA GPU hardware. Keep NVIDIA Isaac Sim pipelines and simulation workflows operational despite constant unexpected codebase updates
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managed as software-defined infrastructures, and integrated as complete computational experiments. You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A call for applications is open for 2 Research Grants within the scope
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environments, including job scheduling, resource allocation, data movement, storage, and scalable GPU-enabled computation Required Qualifications Educational Requirements Ph.D. earned within the last five (5
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of single-mode and multimode semiconductor laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate
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-CSIC and the STREAM research group at UCM, with access to GPU and high-performance computing resources and opportunities for international collaboration and research stays. Salary: approximately €1,655
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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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independence in research. It is also appreciated if you also have some pedagogical experience. Knowledge of and skills in MPI and GPU programming, along with experience running large-scale computational
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to Search Postdoctoral Research Associate - Extreme NLO Interactions in Semiconducting Materials Posting Number req27178 Department James C Wyant Coll Optical Sci Department Website Link https
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to introduce state-of-the-art AI tools, accelerating technology transfer and hands-on learning opportunities. Design and deploy high-performance AI systems using GPUs and hardware accelerators. Job Description