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intelligence (ML/AL) algorithms and other computational methods to enhance the structural resolution of current X-ray scattering techniques. This position offers the opportunity to work at state-of-the-art X-ray
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reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be
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are for two years, with the possibility of one additional year contingent upon funding and performance. Applications received by 29 November 2024 will receive our fullest consideration. The Theory Group has
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responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of
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mesoscale computational models, implement them, run simulations, analyze data, prepare manuscripts for submission to peer-reviewed journals, present papers at scientific meetings, and prepare reports
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required; received within the last 3 years or upcoming year Basic familiarity with scripting or programming to work with and analyze data. Ability to model Argonne’s core values of impact, safety, respect
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advantage of recently developed (and developing) instrumentation which brings together these complementary methodologies as part of the Atomic Quantum Information Surface Science (AQuISS) Lab. Larger goals