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Field
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for preclinical imaging with opportunity to gain a variety of translational research skills, including advanced image processing, data analysis, and novel imaging techniques, such as MRguided Focus Ultrasound
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., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R
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microorganisms or environmental isolates Multi-omics techniques (e.g., transcriptomics, proteomics, metabolomics) Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques Analysis of next
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: tracking baleen whales and shipping activity, assessing impacts on marine ecosystems, and exploring geoacoustic inversion techniques. Seafloor structure imaging: ambient noise tomography to generate high
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) conferred by start date Demonstrated experience with imaging and/or video datasets Training and experience in machine learning, computer vision, and deep learning methods Excellent English language
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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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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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schooling behavior of relatively small fish as they navigate complex turbulent flow fields. Using novel analytical techniques for data processing, using numerical models of varying complexity to expand
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
, dynamical systems, and scientific computation. Ideal experimentalists will have strong skills in experimental fluid mechanics, including laboratory design, high-speed imaging, flow visualization, and
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– immunofluorescence and confocal imaging Molecular bench work — basic molecular skills are required (molecular cloning, genome editing, etc.) Data analysis – basic skills in bioinformatics or genomic data analysis