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studies and port these simulations to leadership class supercomputing platforms, identify and improve the bottlenecks in scaling the simulations. Analyze large simulation datasets to gain new scientific
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Argonne National Laboratory invites applications for the position of Group Leader for the Low-Energy Nuclear Physics Research Group (LER) within the Physics Division. LER is the largest research
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Because of the drastically increasing demand from AI/ML applications, the computing hardware industry has gravitated towards data formats narrower than the IEEE double format that most computational
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considerable amount of experimental laboratory work with a variety of electrochemical based methods (galvanostatic/potentiostatic, AC impedance, and hybrid potential/current control methods) coupled
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We are seeking creative Postdoctoral researchers to bridge the gap between leadership-class supercomputing and cutting-edge open science in the area of AI and Machine Learning. Successful candidates
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materials science and/or chemistry. The candidate will have established expertise in materials or chemistry using autonomous platforms and AI to accelerate their research, with the expectation of forming
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, and use of novel architectural features. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne
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-accelerator applications. This work supports AWA’s mission to enable next-generation, energy-frontier particle accelerators. The AWA portfolio spans beam-driven wakefield acceleration, generation of bright
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The Nanoscience and Technology Division (NST) at Argonne National Laboratory invites applications for a postdoctoral researcher to lead cutting-edge efforts in electrically driven ultrafast electron
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machine learning models at a world-class high-performance computing facility The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms