38 electronics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Argonne
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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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generation of closed-loop, AI-enabled experimental workflows that tightly integrate synthesis within situ and operando x-ray, electron, and optical characterization. The successful candidate will help bridge
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ferroelectric and other functional materials into photonic architectures for electro-optic and quantum transduction applications Perform full device processing using cleanroom techniques, including electron-beam
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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
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the electronic, magnetic, and optical properties of 2D materials at ultrafast timescales, which holds promises for developing new energy technologies. The candidate is responsible for conceiving, planning, and
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demonstrates a professional attitude. Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience. Strong computer skills
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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4