137 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at National University of Singapore
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possess strong interpersonal communications skills with excellent written, oral communication and computer skills. Perform experiments with live laboratory mice, including administering treatments
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Location_ONB: Kent Ridge Campus Posting Start Date: 31/10/2025 Job Description The successful candidate will work with Associate Professor Duane Loh on conducting research at the interface of Machine Learning
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: Kent Ridge Campus Posting Start Date: 25/03/2026 Job Description The National University of Singapore invites applications for Research Assistant for “Learning about Our behavior is Valuable
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) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of
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researchers, and the opportunity to make a meaningful impact on the early detection and prevention of cognitive disorders. Assist in developing and validating machine learning-based predictive models using
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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high-impact publications. 2-year appointment, with potential for extension subject to performance and fund availability. Responsibilities Develop advanced statistical and machine learning modeling
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, immunology and molecular biology is required. Able to travel occasionally for conferences, project sites and meetings with collaborators. Possess strong interpersonal, communication, computer, writing and
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. • The ability to work independently and collaboratively within a multidisciplinary team. • Strong writing, critical thinking, communication, and presentation skills. • Experience in Machine Learning is a
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on the laboratory can be found here. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles