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Field
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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logical thinking, intellectual curiosity, as well as strong problem solving, analytical and organizational skills and the proven ability to adapt to shifting priorities and manage multiple projects in a
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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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implementing weather and climate observations, numerical modeling, machine learning algorithms, and decision support tools focused on atmospheric, land-surface, and hydrologic conditions related to extreme
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of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability. Experience in scientific programming and the
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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; security issues in human-automation interaction; emergent security issues in AI-augmented cyber physical system and peripherals; security of advanced algorithms; ML training attacks; privacy of ML; AI-driven
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responsibilities. · Continue and build research and development programs into AI algorithms and technologies in mechanical ventilation (both own programs and participating in ongoing programs in the Division