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: Photon-counting and spectral CT imaging CT reconstruction and image-processing methods Material decomposition and quantitative spectral imaging Image segmentation, registration, and quantitative
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). The postdoc will contribute to advancing understanding of the natural history of GSDs and Pompe disease. Research activities will include investigation of the role of the immune system, neurological
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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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. 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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immune response. The postdoc will be co-mentored by an interdisciplinary team of biologists and mathematicians including: Dr. Kevin Flores (Mathematics, North Carolina State University) Dr. Micah
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. Image Processing & Annotation Preprocess ophthalmic imaging data for machine learning workflows through normalization, resizing, artifact reduction, and quality assessment. Coordinate imaging annotation
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should complete the application process described in the Duke University Aging Center’s T32 Postdoctoral Research Training Program website (https://agingcenter.duke.edu/postdoc), AND submit an
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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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postdoc will be encouraged to develop a unique scientific identity within the broader project, lead publications, present their work at national conferences, mentor junior researchers, and develop the