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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer
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well as on-axis microscopy The successful candidate will work in a multidisciplinary team with chemists, geophysicists, and x-ray scientists, and will be expected to apply the new HPHT-XPCS technique to address
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We seek a postdoctoral scientist with expertise in electrodeposition science and technology. Exposure to microelectronics applications is desirable, as is familiarity with progamming and interfacing
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experimentalists, modelers, and data scientists Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Materials Science, Chemical Engineering, Chemistry, or a related field
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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Photon Source) and with collaborators at SLAC Engage with a multi-lab team that includes scientists from Fermilab and Jefferson Lab Application Materials Please submit: Research statement Official graduate
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computational science expertise. The ALCF has an opening for a postdoctoral position in data management targeting AI applications at scale. The successful candidate will join the AL/ML group, a vibrant
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of both Argonne and university based scientists. The broad goals are to realize materials that have a tunable response in in THz regime an interconnect materials that function effectively in
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. The candidate is expected to work as part of a collaborative team of chemists, engineers, and materials scientists to develop new processes for converting CO2 and CH4 to valuable products. The candidate should
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(NUCLEI); and two Topical Collaborations: 1) 3D quark-gluon structure of hadrons: mass, spin, and tomography, and 2) Nuclear Theory for New Physics. Further information on our group and its research