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of this role will be exploring how intrinsically disordered proteins (IDPs) mediate signaling mechanisms, with a particular emphasis on cancer therapeutics. Supported by a multi-year ARPA-H grant, this project
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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hardware trend. To help bridge the gap, the Argonne Leadership Computing Facility (ALCF) invites applications for a postdoctoral appointment on the subject of mixed/reduced precision computing on modern
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expected to engage scientifically with researchers in the HEP groups at both Argonne and UIUC, building overlapping and complementary research efforts. This advertisement is for a three-year postdoctoral
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are for two years, with the possibility of one additional year contingent upon funding and performance. Applications received by 28 November 2025 will receive our fullest consideration. The Theory Group has
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the possibility of extension to a third year, contingent on performance and available funding. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics or a closely related
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in
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or soon-to-be-completed PhD (typically completed within the last 0-5 years) in physics, chemistry, or materials science with 0 to 2 years of experience, or the equivalent experience through practical
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, designing and executing ML experiments on leadership-class computing facilities such as the Aurora and Polaris supercomputers. Argonne is a multidisciplinary national laboratory and offers an exciting campus
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knowledge gaps in high-pressure science and publish the results in scientific journals. The initial appointment is for two years and may be extended to a third year, contingent on performance, project