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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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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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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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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
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus
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to support their research program and that fits within the Departmental research mission. Successful candidates will be required to self-disclose any misconduct history or pending research misconduct
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours 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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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