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user groups to incorporate scattering datasets into multimodal AI frameworks combining experimental measurements and simulations. Contribute to the development of automated data processing and analysis
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that combine electrical transport with x-ray techniques. Experiments are expected to focus on strongly correlated and topological systems, being primarily carried out at the APS POLAR and HPCAT beamlines
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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nonproliferation. With guidance, the appointee will : Develop advanced multiscale, multiphysics simulation tools relevant to the modeling of processes involving combined nuclear, chemical, and electrochemical
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scheduled to run in CY26 Lead role in our MCP-PMT R&D program, with emphasis on device characterization and QA You may combine these focus areas with other ongoing projects in our group. About Argonne and the
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on the development of the SPHEREx Legacy Galaxy Clusters Catalog. The successful candidate will lead analyses to characterize galaxy populations in clusters using SPHEREx data in combination with complementary wide
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early “pathfinder” experiments that establish performance and scientific impact. This role combines end-to-end instrumentation leadership (requirements, design maturation, interfaces, test/acceptance
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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expertise combining AI and computational chemistry software in HPC platforms for materials science discovery research. Effective written and oral communication skills. Ability to model Argonne's core values