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limited to: learning technology, information, language, and computing technologies to advance learning, training, cognitive development, and human performance. Position Overview Provides ongoing mentorship
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Job Description Apply now Req Id: 35103 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary The Institute for Innovation Science at Purdue University, in collaboration with the Air Force Research Lab (AFRL) Regional Network Midwest, is seeking a highly...
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with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata. • Knowledge of cybersecurity of industrial control systems and/or quantum computing. Additional Information: Candidates must have
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the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible
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biology, biochemistry, cell biology, immunology, or microbiology Knowledge of computers, including Microsoft Word, Excel and PowerPoint. Working Conditions Lab Environment. Application Documents Resume
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Department Booth Center for Applied Artificial Intelligence 1 About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school...
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, Behavior and Learning Program at the University of North Carolina. This faculty position will lead clinical consultation efforts with the pediatric and adolescent population in the outpatient setting
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surrounding the organization and financing of the state’s Medicaid program. Candidates should have an understanding of the populations served by Medicaid as well as an interest or expertise in Medicaid policy
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scholarly activity in areas of interest. Scholarly activity is defined broadly and includes, for example, proteomics, LC-MS/MS-based approaches, data analysis and informatics for mass spectrometry-based data
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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and