42 computer-science-image-processing Postdoctoral positions at The University of Arizona
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Observatory and the Center for Astronomical Adaptive Optics on high-contrast imaging, debris disk science as well as the opportunity to join ongoing efforts in laboratory work demonstrating high-contrast
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Qualifications PhD or MD, PhD degree in neurobiology, biophysics, molecular biology, biochemistry or related field of study. Preferred Qualifications Experience with computational fluid dynamics. Experience with
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to instrumentation and techniques for ground and space-based wavefront control and high-contrast imaging. Candidates with a range of experience outside of astronomy are encouraged to apply. As a Postdoctoral Research
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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