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Field
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to quantify surface waves and their corresponding processes, including turbulence, wave breaking, bubble entrainment, and spray generation. Experimental Data Analysis: Utilize MATLAB, Python, and LabVIEW
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academia (NIH K99/R00), the PI will provide guidance and feedback into this direction if aligned with the candidate’s goals. The Gao Lab also provides numerous opportunity for national and international
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
of 48 tenure-track faculty, 12 teaching faculty, 5 research faculty, and numerous active adjunct and emeritus faculty who are engaged in basic and interdisciplinary research and teaching, both within
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soft materials for microscopy imaging, and operating transmission electron microscope and atomic force microscope. This position will be expected to conduct data analysis, prepare publications, and
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will lead and/or contribute to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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supervise cutting-edge interdisciplinary research building on the analysis of large-scale blockchain data. This will include, but is not limited to: Designing, implementing, and maintaining scalable pipelines
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to have a Ph.D. in Applied Mathematics, Mathematics, Control, Operations Research, Statistics, or a related field. Experience in numerical analysis, scientific computing, and either optimization or machine