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mentors. HOW TO APPLY: Email a single PDF to Prof. Khalid Salaita (k.salaita@emory.edu) with the subject line “Postdoc Application – CPMM” containing: Cover letter (1–2 pages) describing research interests
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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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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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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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these discoveries into new therapies and diagnostics. We employ cutting-edge approaches in genome engineering, synthetic biology, genomics, and computational biology to illuminate the regulatory networks governing
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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
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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