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). Originally designed to make video games look realistic, GPUs have evolved into powerful engines for scientific computing. Unlike traditional computer processors, which handle one task at a time, GPUs can carry
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of dense laser plasmas and intense laser interactions with matter using particle-in-cell (PIC), hydrodynamic, and/or Fokker-Planck open and proprietary simulation packages. Investigate and develop different
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manages model onboarding, platform health, monitoring, and configuration across on-premises GPU systems and cloud providers, ensuring reliability and security. Additionally, the AI Solutions Engineer II
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-design with accelerators (FPGAs, GPUs, near-memory systems) to achieve real-time, energy-efficient AI for high-tech industry applications. Work with leading companies like ASMPT and shape the future of AI
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storage and archiving solutions to collaboration and analytics tools. ARC also delivers Baskerville; a leading GPU accelerated National Compute Resource (NCR) and supports researchers using specialist
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview As an associate AI Engineer who thrives at the intersection of deep‑learning
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, PyTorch) for ML applications, training, evaluation, and deployment of models Use of GPU-based servers and modern IT infrastructure for training and inference Application of classical ML methods (e.g
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview As an AI Engineer who thrives at the intersection of deep‑learning research and
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problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference. Job Description The Harvard Kennedy School (HKS) is launching an initiative to build the best-in
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interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a research scientist with proven expertise in advanced computing