15 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at Emory University
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methods (e.g., fluorescence, reflectance, or label-free modalities). Collaborate on development and optimization of imaging instrumentation and workflows. Perform tissue preparation, imaging, and data
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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contribute to the excellence of our academic community. The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine
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methods. Perform brain image analysis to study neurological diseases. JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated
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Foundation to promote healthy physical activity and sport through application of virtual reality technologies. This school-based program will help to develop innovative injury risk screening and sports
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Atlanta. The campus fosters cross‑disciplinary collaboration through initiatives like the Winship Cancer Institute, Emory + Georgia Tech biomedical partnerships, and numerous core facilities. Atlanta offers
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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the Emory Oaks program. Emory Oaks is a college autism support program designed for autistic students seeking their degree at Emory University. The Fellow will be tasked with providing Support Navigation
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral