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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Posting Information Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date 06/17/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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Position Summary Postdoctoral Research Associate position open in the Williams Lab in the Department of Ophthalmology and Visual Sciences. The Williams Lab is seeking a postdoctoral researcher with
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Subject description This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods
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, Cardiovascular Medicine Postdoc Appointment Term: 4 years Appointment Start Date: 5/15/25 How to Submit Application Materials: E-mail to jspin1@stanford.edu (link sends e-mail) Does this position pay above the
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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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at NYU?s Center for Genomics and Systems Biology is looking for a highly motivated and independent Postdoctoral Associate with training in Computational Science and Artificial Intelligence. This position
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position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological imaging