53 computer-science-image-processing Postdoctoral positions at The University of Arizona
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Highlights This position, funded by the Gordon and Betty Moore Foundation, is focusing on developing and utilizing the attosecond electron imaging facility for imaging the electron motion in the real time. The
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units across the University. Utilize molecular biology, biochemical techniques and high-resolution imaging, perform in vitro functional analyses including patch-clamp and calcium measurements. Perform
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on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI). This position offers hands-on experience with behavioral, eye
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I - Physiology Posting Number req23566 Department Physiology Department Website Link https://physiology.arizona.edu/ Location University of Arizona Health Sciences Address 1501 N. Campbell Avenue
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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data using various software (R-statistics, GraphPad, Excel, ImageJ, Image Lab). Supervise and mentor undergraduate students. Prepare and submit peer-reviewed journal articles. Present results
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molecular/cellular biology techniques, as well as experience in animal handling and microscopy, including fluorescence and confocal imaging. Additional experience in multi-omics approaches (e.g
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the University of Arizona and relocations services, please click here . Duties & Responsibilities The ideal candidate should have a strong passion for science with an ambition to someday become an independent
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Number req23899 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/ Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights
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% of their time in the field (conducting measurements, maintaining research sites, etc.), 35% on data processing (synthesizing field data, assisting with quality control on micrometeorological data