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Field
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nanobeam imaging. The successful candidate should be highly motivated for research excellence and have a strong track record in problem solving and scientific publicaitons. The candidate will be expected
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calculations, reactive empirical force fields, chemical dynamics, deep learning and numerical algorithms, data analysis, experimental characterization and imaging. Our research has involved methodology and
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prototype, benchmark, and evaluate strategies to better support these workloads for Aurora. Position Requirements Required skills and qualifications: A recent PhD (within 5 years) in computer science
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theoretical modeling, remote imaging, and direct observation. Our research has both fundamental and applied elements. The successful candidate will demonstrate exceptional academic achievement and promise, and
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disease monitoring. Develop a novel sensitive immunoassay for validating rare EV biomarkers in blood/clinical samples, including immuno-PCR, bead-based EV flow, and imaging-based single EV analysis
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success. Our goal is simple: Make your start-up investable by empowering participants to mature their ideas from concept to prototype to first commercial product, identifying the most suitable commercial
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Angeles Accessibility About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2025 The Regents of the University of California. All rights reserved.
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an interdisciplinary collaborative setting. The successful candidate should be proficient in programing languages, such as Python. Image processing expertise will be a big plus. Posting Date Closing Date Open Until
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responsible for obtaining high resolution images of weeds and crops at various growth stages to contribute to field-scale testing of weed identification and mapping tools. In addition, several existing crop and
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found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity