775 parallel-computing-numerical-methods positions at The University of Chicago in United States
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methods, including familiarity with experimental methods. An advanced degree in economics or related field with evidence of strong mathematics, statistics, and metrics background is strongly preferred
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faculty to adopt appropriate learning technologies and promoting innovative teaching methods and pedagogical approaches. The LED is responsible for developing and implementing a range of resources and
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, quantitative and qualitative analytical methods, to support the development of projects from conception to completion. Responsibilities: Performs business analysis, requirement gathering, data analytics, and
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scientists, and computational scientists- working to build data-driven estimates of the local and global costs of climate change. Our research involves using econometric methods and globally comprehensive data
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institutional strategy. Plans, develops, designs and implements the strategic and tactical marketing plans for a department or program. Directs, monitors and evaluates marketing communication and research
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self-insurance program • Overseeing related claims • Advising and consulting units regarding methods to control the risk of loss to the University • Providing oversight for youth-serving programs We
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, Conference Center, Executive Program as well as other department managers, and University staff as needed. Responsibilities Works with London, Hong Kong, and Singapore campus staff together with the local
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, assists units across the University with staff recruiting, including advising on advertising and outreach methods, sourcing candidates, prescreening resumes, interviewing candidates, checking references
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, topological junctions, and nanostructured superconductors. The Staff Scientist will support research that is relevant to applications involving nanoscale and quantum computing elements. Typical projects include
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of Ob/Gyn. The research associate will obtain consent, administer exams and questionnaires, enter computer data into files, abstract charts, assist in preparation of materials for presentation and