502 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at National University of Singapore
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for Quantum 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
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learning; facilitation of collaborative learning workshops; support the design, optimization and co-ordination of experiential learning in the undergraduate programmes; support course coordinators in
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) into parts using various materials. 3. The applicant should demonstrate the ability to operate modern manufacturing equipment including but not limited to CNC machining, laser and wire cutting, and traditional
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an active role in data management, processing, and quantitative analysis (e.g., longitudinal and multilevel modelling, time-series or high-frequency data analysis, machine learning or predictive
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proposals are committee-ready, evidence-based, and aligned with agreed learning outcomes, assessment principles, stackability/pathway rules (where applicable), and institutional requirements. Coordinate
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effective administrative support to enable the SHAPES team to carry out its research programmes, learning activities such as workshops, and engagements with scientists, health professionals, members
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., • Interest in developing risk prediction models via deep learning/machine learning. • Have strong background in DL, EEG data and programming for the implementation of proposed methods. Apply now
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Lifelong Education (SCALE), established in 2016 as the National University of Singapore’s (NUS) hub for lifelong learning, is both an academic school and a university-wide platform. As a school, SCALE
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Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 16/10/2025 ▲ Collapse Job Title: Research Engineer (Process Engineer) University-Level Unit: College of Design and
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portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis through to deployment and documentation. • Applied Machine Learning: Possess deep, practical knowledge