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reaction kinetics and complementary physical organic and inorganic chemistry approaches. This is an exciting opportunity for an early-career scientist who is passionate about sustainable materials, catalysis
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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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pressure, and high strain rates, in effort to address outstanding scientific questions regarding material behavior near and across the solid-melt transition and into the melt region. Measurements will be
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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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, spectrum analyzer, or FPGA-based data acquisition. Cryogenic measurements and equipment maintenance, preferably dilution refrigerator. Knowledge about low-noise microwave characterization, including use
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superconducting device concepts for applications in: Dark matter detection Neutrino measurements Millimeter-wave line intensity mapping surveys Quantum sensing About the Team The postdoctoral researcher will join a
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emitters, including photon correlation and spectroscopy measurements About the Team You will join a collaborative team of physicists and engineers drawn from Argonne's High Energy Physics (HEP), X-ray
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research interests to Ian Cloët ([email protected] ). 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 ([email protected]
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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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, reproducibility, and scalable data understanding Position Requirements PhD completed within the last 0–5 years (or near completion) in Computer Science, Computational Science, Visualization, Human–Computer