343 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nanyang Technological University in Singapore
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, in Statistics, Computer Science, Applied Mathematics, or a related field. Some research background in Statistics or Machine Learning. Entry level candidates are welcome to apply Technical Competencies
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in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects. We are looking for a Predoctoral researcher who can work as a Data Scientist, Machine Learning
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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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-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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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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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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Intelligence, or a closely related discipline. Strong research background in AI and machine learning, with a focus on efficient or accelerated models. Proven experience with model compression techniques, such as
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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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an emphasis on technology, data science and the humanities. We are looking for an experienced individual to drive the effective use of digital tools and technologies to enhance the learning experience