21 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at National University of Singapore
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would choose to work with lecturers clustered into three broad areas: Science and Technology, Arts and Design, Civic and Community. Applicants from any field representing the Computer Sciences are welcome
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the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries
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at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always
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knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people
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, systems integration, artificial intelligence & machine learning is a plus. Company Overview NUS is a leading worldwide ranked University with a strong commitment to education and research. It ranks amongst
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fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving
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and productivity through automation and technology enablement Leverage data and emerging technology (e.g., Power BI, Robotic Process Automation (RPA), Artificial Intelligence/Machine Learning (AI/ML
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ranked among the world’s top 10 in the QS World University Rankings by Subject 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
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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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of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a candidate at the rank of Assistant Professor (Tenure Track) in the area of machine learning and artificial