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the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes. The prospective postdoctoral appointee will perform multi-physics and multi-scale CFD simulations
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of MEMS devices. Understanding the properties of materials used in MEMS and their compatibility with X-ray optics applications. Knowledge of using software tools to simulate the physical properties and
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with fuel and chemical production technologies from U.S. Energy Information Administration (EIA) database, U.S. Environmental Protection Agency database (e.g. GHGRP, NEI), field data, process simulations
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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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computer science or related computational engineering disciplines. Experience with simulation frameworks for complex computer systems and architectures. Some knowledge of accelerator (CUDA, SYCL, HIP) and scientific
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to innovative measurement techniques and novel technologies, like superconducting nanowire detectors and pixelized 3D-printed MCP-PMTs, capitalizing on Argonne's multidisciplinary expertise. Application Process
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The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
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, and credible analysis of industrial technologies and technology systems that employ a range of tools including process and thermodynamic modeling, life cycle assessment, techno-economic analysis, supply