50 computer-science-image-processing "Inria" Postdoctoral positions at Duke University
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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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Biomedical Engineering, Computer Science, Medical Physics, Computational Biology, Data Science, or a related quantitative discipline. Experience in computational image analysis, digital pathology
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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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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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. 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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. Sterility testing of cellular products pre- and/or post-processing 6. Dextran Albumin thawing of cellular products in the STCL 7. Cryopreservation of cellular products (HPC, Apheresis, HPC, Marrow, HPC
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automated method) 4. ABO/Rh confirmatory testing of cellular products 5. Sterility testing of cellular products pre- and/or post-processing 6. Dextran Albumin thawing of cellular products in the STCL
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. In this role, you will collaborate with leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve
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high-impact publications, and expand your professional growth while making meaningful contributions to biomedical science. Be Bold. Join a research program focused on uncovering the cellular, molecular