300 machine-learning-"https:"-"https:"-"https:"-"https:" 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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position in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages. Responsibilities Design and deliver high quality courses in Artificial Intelligence, Machine Learning and
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technical documents, maintain code repositories, and conduct technical sharing for team members. Requirements: A Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier journals and conferences Good research experience in AI and machine learning as
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electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier journals and conferences Good research experience in AI and machine learning as
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Associate to carry
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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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Computer Science, AI, Machine Learning, or a related technical field. Proven backend development experience with a strong ability to build robust and scalable systems. Hands-on experience building with LLMs