255 high-performance-computing-"Multiple"-"Prof"-"Humboldt-Stiftung-Foundation" positions at The University of Chicago
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. Maintains and organizes three workshops and multiple storage areas. Performs other related duties as assigned. Competencies: Must be able to read and write; must be able to follow oral and written
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stressful situations. Learn and develop skills. Maintain a high level of alertness. Pay attention to detail. Perform multiple tasks simultaneously. Prioritize work and meet deadlines. React effectively
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equipment. Use computers extensively for up to 2 hours. Operate equipment necessary to perform job. Perform strenuous physical exertion at times. Travel to various on and off-campus locations. Application
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, Workday, ACCTS, PETS, GEMS, e-Payments, Business Objects and a high level of proficiency in Excel. Strong computer skills including word processing, database management and spreadsheet skills. Proactive
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accountability. Business acumen. Performance and execution. Partnership and collaboration. Working Conditions Ability to sit and stand for two to four hours. Ability to use computers extensively for two to four
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of data, and drafting presentations on research findings. Responsibilities Performs a variety of analyses of neuroimaging (functional and structural MRI, high-density EEG) data as part of psychiatric and
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major types of malignancies, blood disorders, and experimental therapies. Job Summary The Lead Clinical Research Data Manager will perform a variety of data management duties of a complex and technical
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Data Science (MS-ADS) program at the University of Chicago. The ID will join a mid-sized team that serves across multiple functional areas. The ID will provide critical expertise and input regarding
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Computing Center, IT Services, and University Research Administration to facilitate secure data management. In conjunction with the RCC, identifies issues impacting the successful operation of the SDE, and
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of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Performs other related work as