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time-resolved hard X-ray diffraction microscopy and spectroscopy on single-crystalline bulk and thin film quantum materials (e.g. ferroelectrics, multiferroics, strongly correlated electron systems
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platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
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will require flexibility and a willingness to learn new techniques and approaches. In addition, there may be overnight experiments being run unattended, the candidate must be able to respond to issues in
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solidified artificial intelligence (AI) as a key science accelerator, especially in concert with automated techniques for sample creation, movement, and evaluation. However, the flexibility and intelligence
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The Materials Science Division (MSD) at Argonne National Laboratory is seeking a postdoctoral appointee to join the Nanoscale Magnetic and Electronic Heterostructures group. This position will focus
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and/or sodium-ion battery technologies Familiarity with reference-electrode cell configurations Experience with electron microscopy, X-ray diffraction, and other advanced materials and battery
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circuits that couple to both macroscopic magnetic crystals as magnon target mass and solid-state single-electron qubit with magnetic field compatibility. Develop superconducting hybrid circuits that couple
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science, or a closely related field Experience in the development and/or deployment of superconducting devices, or related technologies in quantum devices, low-temperature systems, microelectronics, or
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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for experiments, or uncertainty quantification Experience with autonomous, self-driving, or robotic laboratory platforms Background in electronic polymers, conjugated polymers, organic semiconductors, soft