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computational approach focused on the development, evaluation and application of innovative AI, machine learning and systems approaches to modeling biomedical big data for precision health. We are particularly
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automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET
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’ experience working with big data or omics data. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. Familiar with Python, Matlab, and R computing languages. 1
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automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET
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mechanisms of late toxicities following CAR T-cell and other cellular immunotherapies, including prolonged cytopenias and immune dysregulation, and to uncover how host immunity shapes both therapeutic response
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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methodology. To learn more please visit Applied Genomics, Computation & Translational Core | Cedars-Sinai. Are you ready to be a part of breakthrough research? The AGCT Core Biomedical Technician contributes
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with instrumentation, expertise, and flexible methodologies for biobanking, histology, research pathology, microscopy, and image analytics. To learn more, please visit Biobank and Research Pathology