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Field
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DEVELOPMENT) Percentage of Time: 100 Union Code (Name): 99 - Non-Represented (PPSM) Employee Class (Appointment Type): Staff: Career FLSA Status: Non-Exempt Classified Indicator Description (Personnel Program
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to ongoing program evaluation and improvement in the undergraduate and graduate Kinesiology programs. Teaching assignments may include undergraduate (both face-to-face and online) and graduate (online
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of Engineering and Computing Classification: Research Staff 12-month Job Category: Research Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA Workplace Type: On Site
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or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
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computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in running code written by other
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Department: Col of Engineering and Computing Classification: Research Staff 12-month Job Category: Research Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax
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. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions. Benefits at a Glance Want to know your total compensation? Use our calculator to get the complete picture! CU advantage
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. What starts here really does change the world. To learn more about the McCombs School of Business, please visit https://www.mccombs.utexas.edu/ Purpose As a member of the McCombs Technology Solutions
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis