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Field
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, including fitting and manipulation of large array-type data sets (using Python, Matlab or equivalent) Ability to communicate well, and work within a collaborative team environment Preferred Knowledge, Skills
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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches
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Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. Medical, prescription drug, dental, vision, life and
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon
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model fairness and model generalizability across multi-institutional electronic health records databases. The researcher will have access to the real-world EHR data from almost 20 sites across
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publications, conference presentations, and policy white papers Develop and implement data analysis pipelines for large-scale datasets Present research findings at conferences and professional meetings