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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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Plan and execute in situ/operando experiments using advanced characterization methods, including Near Ambient Pressure X-ray Photoelectron Spectroscopy (NAP-XPS), electron microscopy, Raman spectroscopy
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information about the LER group can be found at www.anl.gov/phy/low-energy-physics-lep . Position Requirements The successful candidate must have a Ph.D., an internationally recognized research career in
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and supercritical conditions. The ability to assemble new batch and flow processes is a plus. Furthermore, we will teach the candidate about engineering design of chemical processes; however
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Questions about the position should be directed to Alan Dibos (adibos@anl.gov ). Please note that only applications through Argonne’s website will be considered. Applications must include an updated CV and
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Because of the drastically increasing demand from AI/ML applications, the computing hardware industry has gravitated towards data formats narrower than the IEEE double format that most computational
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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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datasets, complex simulations, and multimodal information. This position provides the opportunity to work with some of the world’s most advanced computing resources, including flagship exascale
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research interests to Ian Cloët (icloet@anl.gov ). 3. Arrange for three letters of recommendation to be emailed to the same address. Any questions about the position may be sent to Ian Cloët (icloet@anl.gov
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The Computational Science Division (CPS) at Argonne National Laboratory (near Chicago, USA) is seeking a postdoctoral researcher to enable exascale atomistic simulations of ferroelectric devices