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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)
Job Title: Research Assistant in Energy Systems Management program (Low Carbon Energy Systems research program) Job Summary: Dr. Jalel Sager, Associate Professor in the MS in Energy Systems
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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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: Research Topic Students who have taken Computer Science courses can attest that having a test suite to check whether your program is correct gives valuable feedback in an accessible way. However, some
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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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this pilot endeavor to improve the experiences of our students and our program more broadly. This racial affinity group pilot has also included supporting doctoral students through training, mentorship
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approaching this problem using logical reasoning without running the programs so far. Now, we are looking for someone to complement this by analyzing the program as it runs and finding memory bugs. Help us
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Job Title: Research Assistant Job Summary: The research assistant position will support data collection for the research project "Undocumented Graduate Students at USF". Full Job Description: Research Assistant will participate in data collection for the research project "Undocumented Graduate...
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(post-doc only) Computer Science (post-doc only) Design Preference for fellow with teaching and research interests in UI/UX Economics Preference for fellow with teaching and research interests in applied
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, Computer Science or a related field. 2. Strong understanding of database systems, including data models, query optimization, indexing, and transaction processing. 3. Familiarity with large language models, such as