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collaborative, multidisciplinary environment that brings together expertise in quantum information science, computer systems, networking, high-performance computing, and scientific applications. The scientist
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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data
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Venkat Srinivasan, Director of the Argonne Collaborative Center for Energy Storage Science: [email protected] More information on ESRA and the research areas of focus can be found at: https
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learn from experiments at unprecedented scale. For more information: Rapid Prototyping Lab: https://rpl.cels.anl.gov/ Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery MADSci
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nonlinear MEMS-based oscillators driven by storage-ring radio-frequency (RF) signals to enable advanced manipulation of X-ray pulses. Background information on the project can be found in the publications
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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Qualifications: Experience using the MOOSE simulation framework is highly desired. Experience fitting complicated physics-based models against test data, including machine learning and Bayesian optimization
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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If your Ph.D. has already been awarded, a copy of your Ph.D. diploma Candidates selected for interviews will be asked to provide the names and contact information for three references Start Date We