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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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listed will be considered). Knowledge in the following areas: Li-ion batteries – including fabrication of coin cells and performing electrochemical performance testing, characterization of carbonaceous
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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy
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the publisher: Tiny Chip-Based Device Performs Ultrafast Modulation of X-Rays.) 3. J. Zhou et al ., Picosecond Synchrotron Pulse Shaper on-Chip, arXiv:2211.03567, http//arxiv.org/abs/2211.03567. (Revised
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; initial term up to two years with potential extension based on performance and funding. On-site position at Argonne; work primarily conducted at the Advanced Photon Source. Beamtimes may require occasional
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) and semiconductor materials - Hands-on experience maintaining and modifying vacuum deposition equipment - Experience developing and/or performing in situ characterization - Knowledge and experience with
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magnets (e.g.: FGT and FeGe). The project will involve imaging the nanomagnetic thin films while simultaneously performing in-situ field and temperature driven experiments. Additional experiments may
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable