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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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professional training and conducts world-renowned research fueled by over $705 million in research grants. For more information, visit www.cuanschutz.edu . The DOP is one of the largest units in the CU School
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of Colorado Cancer Center, Colorado Center for Personalized Medicine, the Colorado Clinical and Translational Sciences Institute, and other campus units focused on translation of data, models, and methods
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will have expertise in one or more of the following areas of Cybersecurity: Data security including digital forensics and cryptographic multiparty computation Software security including malware analysis
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, enrollment, study visits, data management, regulatory compliance, and other duties associated with performing clinical research activities. Must have excellent organizational, time management, and
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. The team is comprised of approximately 70 PhD, Master’s, and student members who focus on collaboration including study design, data management, data analysis, and innovative methods development
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on their individualized data analysis. · Work on an organized record of dry lab scientific research with interpretable data visualizations and results in Github (e.g., using Jupyter notebook). Work Location: Onsite
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research group with an externally funded research program in one or more of the following areas: Artificial Intelligence / Machine Learning with applications Data Science and Engineering with applications
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from human blood and tissues) and analysis of -omics data, including spatial transcriptomics, to investigate the role of CD8 T cells in the cellular and molecular mechanisms of autoimmune diseases
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meet minimum qualifications at the time of hire. PhD level degree in computer science, engineering, or a similar field. 1 year experience in AI research applied to medical imaging and/or radiotherapy