950 assistant-professor-computer-science-and-data-"St"-"St" positions at The University of Chicago
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Safadi Program Director, the Program Manager is responsible for the management and day-to-day operations of the Safadi Program of Excellence in Clinical and Translational Neuroscience. Additionally
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environment that is consistent yet agile. Collaborating with stakeholders to understand program strategies, ATS develops data, reporting, and analytics solutions that lead to actionable outcomes and actualized
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Administrator supports achievement of Chemistry’s scientific and educational goals by providing administrative assistance, project management and program planning in service to faculty, students, and staff
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, bringing new techniques to the lab (e.g. molecular engineering, informatics), growing the research into new directions, managing personnel, assisting with grant and manuscript submissions, and managing
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The University of Chicago Academic Jobs Full Professor - Spine Neurosurgeon #NSU017 Department of Neurological Surgery, Biological Sciences Division Position Type: Faculty Salary Range: $530,000
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for executive or professional degree programs and initiatives and acts as a liaison between the program and program participants. Serves as a resource for program information. Resolves problems or questions
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knowledge of peers, and helping develop data science skills in junior employees and interns. Assisting in providing leadership for design of user-facing computational resources. Serving as a reference for
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The University of Chicago Academic Jobs Research Assistant Professors – Hematology/Oncology #MED379 Department of Medicine, Biological Sciences Division Position Type: Other Academic Appointee
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other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs. Performs other related work as needed. Minimum Qualifications Education
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program at the University of Chicago is designed to provide foundational training in bioinformatics. With demand for more sophisticated health information systems and medical research methodologies rapidly