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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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and/or clinical research, with evidence of scientific productivity and a planned research program. Compensation (including a generous package of fringe benefits) is dependent on qualifications
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the physical sciences and mathematics, and this tradition of innovation continues today. Our inquiry and impact spans from the edge of the observable universe to human-computer interaction, from biophysical
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processes. A strong commitment to data quality, user support, and innovation is essential to the role’s success. Responsibilities Provides program leadership for the Analytics and Data Science teams including
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Department Crown Research Epperson About the Department As one of the first schools of social work in the United States, the Crown Family School of Social Work, Policy, and Practice has shaped the field for more than 100 years. As part of the University of Chicago, the Crown Family School shares...
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. Responsibilities Curates medical records. Implements computational workflows. Attends and documents conference calls with collaborators across the globe. Follows-up on research tasks. Documents workflows and
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data analysis and computational cognitive modeling. The research assistant is essential to the smooth and productive functioning of the lab. There are opportunities to develop independent projects
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policies and procedures. Participate in the development, implementation, and maintenance of computer hardware and software to support the section's activities and goals. Ensure that systems are compatible
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and increase the engagement of the University's alumni, donors, and friends. Job Summary This position performs a range of professional activities related to the donor relations program to enrich
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), to examine the influence of environmental factors on brain activity. We also use computational methods, including machine-learning, natural language processing, and spatial analysis, to analyze large datasets