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Field
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manuscripts for publication. Prepare and characterize samples with thin-section petrography, scanning electron microscopy, and other techniques with assistance as needed Conduct heating experiments with
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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implement virological, biochemical, and imaging assays to address fundamental questions in HIV-1 virus assembly. Apply advanced microscopy techniques and perform quantitative image analysis to study viral
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to Submit Application Materials: Email application materials to PI Laren Becker, at [email protected](link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for
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. The candidate must have extensive experience in synthesizing, evaluating the performance of, and characterizing catalytic materials, including textural analysis, spectroscopic studies, and electron microscopy
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, Raman spectroscopy, X-ray diffraction, thermal analysis, etc.), electrode fabrication, cell assembly and electrochemical testing. A full suite of electron microscopy (SEM and TEM) and surface analysis
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-contrast microscopy, and secondary ion mass spectrometry, and relate growth conditions to nitrogen-vacancy center spin coherence. Document processes and transfer reproducible recipes to CNF staff; coordinate
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, established track record of publications in computational microscopy, computer vision, or parallel machine learning Adaptability: A demonstrated, strong willingness to learn and bridge the gap
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of two experts in computational microscopy and machine learning systems, blending expertise in advanced bioimage informatics and parallel computing: Dr. Min Xu – Affiliated Associate Professor of Computer