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sensors operating in high-radiation environments. Experience with digital signal processing and/or image or event reconstruction algorithms for detector data, including hit finding, pulse shape
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science AI initiatives. What You’ll Do Develop software and AI-driven tools for image capture, volumetric data processing, and visualization Design and implement applications for photogrammetry, multi
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: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker Paravision Micro-CT, optical imaging, photoacoustic imaging, PET
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/ Cross Sectional Interventional Radiology fellowship program provides unique advanced clinically rigorous training in Abdominal Imaging, Image Guided interventions and Clinical Research. Imaging
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and growth media preparation, data analyses associated with RNA sequencing and image processing for emission microscope samples. (20%) Supervise and train undergraduate students conducting research
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and growth media preparation, data analyses associated with RNA sequencing and image processing for emission microscope samples. (20%) Supervise and train undergraduate students conducting research
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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University of Oklahoma Health Science Center | Oklahoma City, Oklahoma | United States | 15 days ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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processing of immunohistochemistry on human, piglet and mouse tissue samples, confocal microcopy to image processed samples, and stereological analysis of relevant samples. •Assist in qualitative studies
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, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division