809 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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Job Description Apply now Job Title: Educational Technologist (Centre for Teaching, Learning & Technology) Posting Start Date: 04/09/2025 Job Description: Job Description The Centre for Teaching
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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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Overview The English Language and Literature (ELL) Department at the NIE invites qualified individuals to apply for the Assistant Professor position in Technology and Language Learning. As an
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Full Time Faculty, Tenure Track Position (Open-rank) in Learning Analytics - (2500004T) Description The College of Integrative Studies (CIS) at Singapore Management University (SMU) invites
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time
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adaptive decision systems. Contribute to research publications, technical reports, and open-source toolkits. Collaborate with faculty, postdoctoral researchers, and students on advanced machine learning
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related to generative design. The key responsibilities include the following: To independently undertake research in machine learning. To publish high-quality research papers as required by the funding body
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2022. We invite you to explore https://cde.nus.edu.sg/ece/ to learn more about us and see how you could become a part of our vibrant and diverse community. More Information Location: Kent Ridge Campus
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, machine learning, and deep learning models. Key Responsibilities: Develop and apply time-series forecasting methods for semiconductor equipment health monitoring. Analyze equipment degradation data