833 parallel-processing-"NTNU---Norwegian-University-of-Science-and-Technology" positions at University of Oklahoma
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Payroll Processing Specialist - Job Number: 251672 Organization : Financial Services Job Location : Oklahoma-Oklahoma City-Health Sciences Center Schedule : Full-time Work Schedule: Monday - Friday
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Assistant Professor of Electrical and Computer Engineering - High-Performance Computing University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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Student Computer Lab Monitor (Fall) - Job Number: 251436 Organization : College of Journalism Job Location : United States-Oklahoma-Norman Schedule : Part-time Work Schedule: Flexible work schedule
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Assistant Professor of Electrical and Computer Engineering - Medical Imaging (Tenure Track) University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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. They also identify trends to generate business insights and recommend growth strategies. Duties: Responsible for working with functional and technical areas to analyze business processes, gather business
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Assistant Professor of Electrical and Computer Engineering - High-Performance Computing University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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located in Norman with a flexible and/or remote option possible for experienced candidates. Job Requirements --- Required Education: Bachelors degree, AND: 36 months of computer programming/analysis
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, data mining and machine learning, big data processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing; (iii) Experience in
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on P2 and P3 will be responsible for the following: sample collection or management, microbiome analysis, data processing, integration, synthesis, and modeling. Besides, the postdocs could participate in
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are available and applied appropriately to achieve desired performance goals in a timely manner. Provides support to 3 - 6 process improvement efforts annually, which are expected to dramatically improve