410 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at Nanyang Technological University in Singapore
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tools. Hands-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
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the essentials of linear algebra, calculus, probability, statistics, algorithms, and data structures. The goal is to provide a foundational understanding of machine learning and deep learning methods
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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program. Job Requirements: Preferably Master’s degree in Physics, Computer Science, Engineering, Mathematics, Machine Learning or relevant fields. Experience in interdisciplinary research involving physics
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cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI
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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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The Senior Executive, Learning Systems & Tech and Course Registration is responsible for end-to-end academic administration and digital learning support to ensure accurate, compliant, and seamless
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journals and conferences Good research experience in AI and machine learning as well as wireless networking Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course examines narrative structures and strategies commonly used in different cinematic genres and to
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to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course will examine opportunities and trends for innovative digital media products and/or services