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Engineering, or related field. • Demonstrated expertise in deep learning and AI methodologies. Experience in medical image analysis, particularly applied to cancer research (pathology, MRI, CT scans) preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. Throughout the Fellowship, individuals will have the opportunity to participate in research using digital pathology, machine learning, deep learning, artificial intelligence, and digital image analysis. Other
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architectures for (bio)medical research and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based
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learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging. As a Project Scientist, you will work
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Bio-Molecular imaging provide excellent access to instrumentation, service, and support for generation and analysis of a broad range of genomics, imaging, and analytical instruments and analyses. https
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strong focus on (deep) machine learning are: Trustworthy and interpretable AI with uncertainty quantification Detection and characterization ofsub-visible particles in microscopy images
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visiting https://rodriguezlab.yale.edu/ About the Postdoctoral Scientist role: This role is an ideal fit for an intellectually curious, creative, and driven scientist ready to gain further professional
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research groups focused on molecular biosensing for point-of-use applications. To learn more, visit MOBIUS website at https://mobius.org.au/ The primary objective of MOBIUS is to accelerate the growth
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interdisciplinary thinking. Opportunities to learn and collaborate through Dr. Rodriguez’s affiliation with Yale’s Wu Tsai Institute . What you’ll do: Design and build a state-of-the-art deep-tissue imaging platform
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quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in translating