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field Match at least one of the following profiles: Experience with modern AI methods for nuclear physics or high-energy physics detector data; or Hands-on work with PMTs, SiPMs, or MCP-PMTs (test-beam
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engineering controls such as gloveboxes or hoods is desired, but not mandatory. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Other: To perform the essential
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. Ability to work with large volumes of hazardous chemicals. Flexibility to change projects and work on a variety of projects simultaneously. Ability to model Argonne’s core values of impact, safety, respect
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. The successful candidate should have expertise and experience in process modeling, techno-economic analysis (TEA) and life cycle analysis (LCA) of lithium-ion batteries and/or recycling and resources to products
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that explain, guide, and support scientific data exploration without replacing human judgment Design human-centered interaction models for AI-assisted visualization, including natural language, mixed-initiative
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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers
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environment Effective written and oral communication and interpersonal skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred skills and qualifications
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fabrication of superconducting sensors Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Microfabrication of superconducting nanowire single-photon detectors
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels
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survey analysis Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Background in observational cosmology, galaxy clusters, or wide-field