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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI
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updated in a timely fashion. Liaises with Tandon and NYU offices to address inquiries, and concerns. Resolves scheduling, student registration and records issues with professionalism and timeliness
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managing multiple projects and priorities to ensure a smooth and seamless experience for employers such as maintain records of student access; manage employer schedules in the Handshake system; communicate
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practices and develop multi-year varsity competition schedules; Develop and implement strategies to recruit student athletes; assess team's future needs (numbers, skills); identify schools and individuals
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a surveillance registry of potential participants and coordinate participant scheduling and follow-up activities. Enter, verify, and manage research data while maintaining data quality and
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. This includes scheduling meetings with PI and program collaborators and taking meeting minutes, making travel and other administrative arrangements research training fellows in the program, maintaining