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Field
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. The project benefits from access to state-of-the-art HPC resources, including the MeluXina supercomputer, and from strong international collaborations, e.g., Max Planck Institute, Google DeepMind, TU Berlin
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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the ability and motivation to develop expertise in large-scale model training and scaling on HPC systems, as well as in handling the unique characteristics of scientific data, including large-scale numerical
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: Contributes technical expertise through analysis and support for programs and projects associated with machine learning, HPC, and computational problems related to earth system science and other dynamical
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(HPC). The postdoc will work closely with visualization researchers, AI scientists, and domain application teams across Argonne and the broader DOE ecosystem. The goal of this postdoctoral position is to
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via HPC. · Strong writing, communication, and interpersonal skills, including a proven ability to work both independently and as part of a team. Special Conditions Posting Date 12/06/2023 Closing Date
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
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). Familiarity with high-performance computing (HPC) and software containers. Knowledge of cancer genomics or regulatory biology is a plus. Mindset: Ability to work independently while thriving in a
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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Genesis Mission, which seeks to accelerate scientific discovery through the integration of AI-enabled solutions. NCCS operates the Frontier exascale supercomputer and world-class HPC infrastructure, giving