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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
familiarity with HPC concepts, GPUs, usage, and management; and familiarity with scientific research software typically used in scientific academic departments. Strong communication skills and customer-service
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, the Musculoskeletal Biomechanics Lab, the Data-Driven Modeling Lab, the Heat Transfer & Applied Thermodynamics Lab, and the MultiPhase & BioFluids Lab. More information can be found by visiting https://eas.uccs.edu/mae
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to roll out an advisory track in Computer Engineering, we are seeking qualified experts in Computer Networks, Computer Organization, Data Analytics, Cyber Security and Privacy, Edge/Fog/GPU Computing
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and scripting languages. Extensive knowledge of parallel programming techniques, including shared memory and message passing parallel programming, and knowledge of GPU programming. Experience with
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experiences using creative coding, AI-assisted tools, and GPU-accelerated workflows. You have a proven record of producing industry-recognised animation or interactive projects, and you thrive on guiding
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machine learning pipelines, with GPU-accelerated environments tailored to foundation model training, data harmonization, and predictive analytics. The Center is embedded within the UC Davis ecosystem, with
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://www.rc.ufl.edu/about/hipergator/ ), and the AI NVIDIA GPU SuperPOD (https://news.ufl.edu/2020/07/nvidia-partnership/ ) supporting UF’s campus-wide AI initiative (https://ai.ufl.edu ). These resources are available
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resources of 48 GPUs, including 16 * NVIDIA A30, 16 * NVIDIA A40, and 16 * NVIDIA A100. Detailed information about the CEEC Department can be found at: http://www.unlv.edu/ceec MINIMUM QUALIFICATIONS
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, retrieval augmented generation, and in-context learning ● Advanced Statistical Analysis: Proficiency in advanced statistical techniques and probability theory ● GPU Programming: Experience with GPU
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). Experience with distributed systems, GPU computing, or cloud-based simulation environments. Knowledge of human-in-the-loop simulation, training effectiveness evaluation, or synthetic environments. Experience