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Department BSD E&E - Bettencourt Lab About the Department Founded in 1892, the Department of Ecology & Evolution at The University of Chicago is at the forefront of Ecological and Evolutionary
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Department BSD E&E - Moran Lab About the Department The Department of Ecology and Evolution hosts diverse faculty and student interests in the ecological and evolutionary processes that underlie
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interdisciplinary approach to Neuroscience and Committees on Computational Neuroscience, Evolutionary Biology, Integrative Neuroscience, and Neurobiology. Members also collaborate with other faculty at UChicago in
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algorithms, programming languages, and libraries. Ability to understand and translate researchers’ scientific goals into computational requirements. Ability to identify and gain expertise in appropriate new
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data
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, and epidemiology. These projects involve close collaboration with epidemiologists, immunologists, ecologists, and evolutionary biologists, including through the NIH-funded Collaborative Influenza
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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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responsible for teaching six courses over the academic year in introductory programming, algorithms, machine learning, or systems depending on the candidates’ qualifications and programmatic need. In