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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Temporary Staff (SHRA) Position Title Research Assistant - Tate Lab Position Number 20077678 Vacancy ID S027913 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule Position Location North
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to implement appropriate methodologies for complex data management and statistical analyses. Facilitates algorithm development, software development, and result interpretation. Assists with grant preparations
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to each platform Maintain a consistent brand voice, tone, and visual identity across all social channels Stay up to‑date with emerging social‑media trends, algorithms, formats, and tools Recommend new
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solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security
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graders, ensuring grading is accurate, consistent, fair, and completed on schedule. Provide training and clear guidance on grading standards, course policies, and instructional procedures. Conduct regular
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scheduling center decision tree logic and algorithms; manages all recruitment and hiring of staff; hires and trains employees that provide faculty support services; administers and manages performance
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Job Posting Title: R&D Software Engineer (ESA) ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt
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wireless communication systems and standards. Our research spans fundamental theory, algorithm design, system-level analysis, and practical implementations for 6G and beyond wireless technologies. We work
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at Tampere University focuses on next-generation wireless communication systems and standards. Our research spans fundamental theory, algorithm design, system-level analysis, and practical implementations
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Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data). Developing pipelines that produce structured insights powering the Agentic