524 algorithm-"Multiple"-"U"-"Simons-Foundation" "Prof" positions at The University of Chicago
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creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences). Applies basic application of computational tools and
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of Chicago Law School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting
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, statistical applications, programming, analysis and modeling. The Ovarian Cancer Research Lab at the University of Chicago is seeking a full-time, on-site Clinical Data Scientist/Analyst to support multiple
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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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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accountability, empowering teams across a complex matrix organization to fully leverage data to engage more alumni, strengthen relationships, and increase philanthropic impact. This role may manage multiple teams
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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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communities whenever possible. With a fast-growing list of clients, we are seeking team members ready to wear multiple hats and support building Foster Insights from the ground up. Job Summary Join a highly
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research surrounding topics of interest in behavioral science. Finds and reports on existing and nascent scientific studies, literature, and real-world examples in order to inform Prof. Epley’s ongoing
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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