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Field
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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, and participating in the project's science outreach activities. The postdoctoral fellow will be responsible for developing study protocols using advanced imaging techniques. He or she will be involved
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses
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support the Preclinical Imaging Shared Resource (PISR) within the University of Kansas Cancer Center and the Department of Cancer Biology. This position will develop and apply advanced preclinical imaging
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engineering Computer science » Programming Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 Nov 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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, multispectral and infrared imaging, spectroscopy, image processing, computational analysis, and clinical investigation to develop technologies that can improve diagnostic accuracy and reduce disparities in care
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 minutes ago
operation. Field of Science: Engineering Advisors: April Jewell [email protected] (818) 354-3474 Questions about this opportunity? Please email [email protected] Point of Contact Mikeala Eligibility
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to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and
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-learning, deep-learning, chemometric, or related computational methods to imaging, spectral, sensor, process, environmental, or other complex scientific data. Strong quantitative data-analysis and scientific