252 computer-science-image-processing-"the"-"Washington-University-in-St" Postdoctoral positions in United States
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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acquisition on fresh and fixed samples. Work closely with pathologists, surgeons, and computational scientists to validate imaging technologies for diagnostic and research use. Analyze imaging data and
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contribute to the excellence of our academic community. The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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years practical software engineering experience • Practical experience with computer vision, ML, or 3D scene understanding • Ability to work collaboratively across technical teams • US Citizen or
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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and computer science. The University of Utah is building a new program in integrating radiology and pathology imaging for clinical outcomes predictions. This program provides strong mentorship for a
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow