38 machine-learning-"https:" "https:" "https:" positions at National University of Singapore
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context. • Conduct statistical analyses, longitudinal modelling, or machine learning approaches as appropriate. • Develop documentation, codebooks, or tools to support reproducible research. • Lead
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). Applying advanced statistical and machine learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development
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and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The goal of the research assistantship is to study the classical results
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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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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers
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and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are looking for a Research Fellow (RF) to join the team and explore
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, and laboratory/field experiments Cost-benefit analysis, General equilibrium model, Advanced econometrics Machine learning techniques including text analysis, and related subjects Well-versed in
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, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline. ● Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in
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sustainable construction. • The successful applicant will be working with Assistant Professor Dr. Jinying Xu (https://cde.nus.edu.sg/dbe/staff/jinying-xu/) in the Cognition X Project lab (https://cognitionx
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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 Lecturer (Educator Track) to teach electrical and computer engineering courses