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development and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across
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research data to support ongoing imaging studies. Analyze medical imaging datasets, including image segmentation and interpretation for research applications. Apply advanced computational techniques
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, and object information. Design, implement, and evaluate computational models and reproducible analytical pipelines. Validate automated behavioral measures against expert human coding standards. Develop
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disease models. What You'll Do: Lead Digital Pathology Innovation Design, implement, and maintain advanced quantitative image analysis pipelines for whole-slide tissue imaging. Extract spatial
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endosomal trafficking, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of
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, artificial intelligence, and data-driven discovery. Learn more about the iMIND Study Team: https://dukeeyecenter.duke.edu/imind Be Bold. Join a multidisciplinary research team at the forefront of
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. Experience working with hardware-software integration and custom instrumentation. Knowledge of research computing, image processing, and data analysis methodologies. Choose Duke. At Duke, you'll
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, including whole-cell patch-clamp recording. Confocal microscopy, immunohistochemistry, RNAscope, ELISA, and quantitative image analysis. Scientific writing, grant development, manuscript preparation
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, image analysis, or quantitative imaging. Experience working with human biospecimens and translational research. Interest in developing and validating New Approach Methodologies (NAMs) for biomedical
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Stem Cell , 2026). Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . We are especially interested in candidates excited to contribute to a new NIH program