803 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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and Lifelong Education (SCALE) was established to drive the expansion of NUS’ lifelong learning offerings in a concerted and strategic way that furthers our mission to be a leading global university, as
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Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible: Job requisition ID : 31376 Apply now
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, and prepare performance reports for management review. Job Requirements: • Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Preferably system
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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will innovate research in advanced materials. Key Responsibilities: Work on AI-driven techniques such as machine learning and
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the internship period (full‑time, weekdays). Qualifications Interest in physics research, particularly experimental work. Strong motivation to learn and work in a research lab environment. Good communication
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Building Robotics Laboratory, we develop state-of-the-art sensing, learning and control systems for energy efficient, human-centered, comfortable and healthy environments. Building Robotics lab focuses
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of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . NIE invites suitable
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Technologies (CQT) 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
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Associate Professor Duane Loh on conducting research at the interface of Machine Learning and Microscopy under a project on Learning Spatiotemporal Motifs In Complex Materials. The main responsibilities
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, Engineering, Humanities, Arts, & Social Sciences, Medicine, Science, and Graduate colleges. Centre for Teaching, Learning and Pedagogy (CTLP), is organized into two teams — The Faculty Development Team