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Field
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to the development and implementation of AI models, research frameworks, and computational tools with a goal to advance science. This role is ideal for individuals with a passion for AI research, strong programming
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, and computer scientists to ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason
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their publications Experience programming GPUs with CUDA, SYCL, HIP or OpenMP Experience using and developing code with AMReX Experience in performance engineering to improve code scalability and reduce time-to
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and writing scientific code - Knowledge of at least one of the parallel programming paradigms (MPI, OpenMP, GPU) - Proficiency in both spoken and written English is essential (work will be carried out
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creativity, while also contributing to CMU’s dynamic program that emphasizes critical thinking, interdisciplinary collaboration, and socially engaged communication practices. Position Expectations: Teach
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data analysis, simulation, and machine learning, integrating resources across multiple facilities. NERSC's next major supercomputer, Doudna, will combine next generation GPUs, networking and storage
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variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with
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facilities. Core responsibilities include the deployment and maintenance of small-scale HPC and compute nodes, GPU workstations, Linux and Windows servers, research data storage and backup solutions
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(e.g., Ansible, PowerShell) and scripting languages. Strong understanding of CPU and GPU environments, network protocols, storage solutions, and cloud technologies. Knowledge of security best practices
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for everyone. What we offer: Medical , Dental , and Vision Flexible Spending Account Retirement Programs Disability Plans Life Insurance Accident Plan Paid Time Off and Other Leave Programs 12 Holidays Each Year