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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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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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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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. 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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HIV prevention and clinical decision support. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications: . PhD in one of these fields: Computer Science
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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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conduct of research. Promote scientific rigor, reproducibility, ethical research practices, and data integrity in all aspects of work. What You'll Bring Required Qualifications Postdoctoral Associate PhD
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compliance with IRB and institutional regulatory requirements. Minimum Requirements: At a minimum, applicants for this position must have a PhD degree, or the foreign equivalent in Cancer Biology, Cell
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clinical research efforts involving retrieval, processing, and molecular analysis of patient-derived specimens from prospective clinical trials. Prepare scientific manuscripts, figures, presentations, and