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Field
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technologists and research staff of the MRRC in the usage of the facility. Supervise MRI technologists. Maintain and upgrade the 3T Philips human MRI scanner, as well as the peripheral lab equipment, computers
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, computer science, bioinformatics, or o ther related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysi s, tensorregression, high
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, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
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review or select your application. Knowledge/Skills/Abilities: Sufficient relevant experience to contribute significantly to a specific project. Experience with the use of computers and other appropriate
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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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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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The Edson College of Nursing and Health Innovation at Arizona State University has an exciting opportunity for a collaborating statistician at the Research Assistant Professor level. This full-time fiscal-year appointment, which complements our interdisciplinary team of applied statisticians, is...
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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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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion