365 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at Nanyang Technological University
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-on experience in autonomous robotics projects; exposure to deep learning or reinforcement learning is a plus. Strong problem-solving ability, collaborative and independent work style, willingness to learn new
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A Machine Learning Engineer position is currently available at NTU and the start-up TT-logic, part of the incubator NTUitive from the Nanyang Technological University. The candidate is expected
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As a key member of the Learning and Talent Management Team within NTU’s Office of Human Resources. This role is instrumental in building NTU’s organizational and workforce capability to cultivate a
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inter-department joint activities. The incumbent will oversee various I&E activities and engagements to enhance the experiential learning. S/he will also support venture internship, expanding the industry
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instructional videos catering to three fundamental topics in AI literacy - Personalization using Machine Learning and Neural Networks , Ethical Issues in AIED , Human-AI Collaboration. These simulations would
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the Office of Information, Knowledge and Library Services (OIKLS). Reporting to the University Librarian, this role is about helping shape the future of how students and faculty learn and teach at NTU
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We are looking for part-time Finance lecturers to teach within the College of Business, Nanyang Business School. Classes are mainly conducted on weekdays; or on Saturdays for make-up classes
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Learning (Undergraduate Programmes), this position is responsible for academic planning, curriculum coordination, and operational efficiency within NTUpreneur’s undergraduate offerings. The role ensures
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General Elective and will be offered to students taking NTU EEE MSc Communications Engineering, Computer Control & Automation, Electronics, Power Engineering, and Signal Processing & Machine Learning with
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Science, Electronics Engineering or related fields. Strong knowledge in deep learning, pose estimation, 2D/3D detection and segmentation, SAM, foundation models, and 3D computer vision; strong software skills and