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for dynamic graph modeling and trajectory prediction. Qualifications Ph.D. or equivalent experience in computer science, engineering, or related field. Strong publication record demonstrating expertise in deep
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Research Assistant in Energy Systems Management program (Low Carbon Energy Systems research program)
level background in energy science, technology, economics, and policy required. The research assistant will compare the rates of change in technology and infrastructure required for a rapid low carbon
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technology is required, while some familiarity with the space is preferred but not required. The Research Assistant will need to be able to use (or learn quickly) Google Sheets (or Airtable) for data
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hours 5 hours a week. Qualifications There are no prerequisite courses required. An interest in blockchain technology is required, while some familiarity with the space is preferred but not required
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a rocky road: it requires the software engineers to reason about memory with care. We are seeking to make this transition smoother by building tools that help software engineers. We have been
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. In this research project, you will also gain experience with state-of-the-art software engineering methods such as automated test generation, and tools that analyze other programs’ behavior as they run
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professoriate. U.S. News and World Report ranks USF number one in the nation for the racial/ethnic diversity of our students. Moreover, USF sustains a culture that values diversity in all its forms, including