149 data-science-"https:"-"https:"-"https:" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated Applied AI for Healthcare and
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Schemes of Service: Research Division: Health and Social Sciences Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will
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Schemes of Service: Research Division: Health and Social Sciences Employment Type: Temporary Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits
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Schemes of Service: Research Division: Engineering Employment Type: Fixed Term Job Purpose: The Research Engineer will support applied research and innovation in sustainability focusing on, but not
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Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will
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of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners. IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations
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the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous
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) Reinforcement learning Edge AI & model optimisation Trustworthy AI (explainability, auditability, privacy) Spatiotemporal data engineering Digital twins & simulation Experience applying AI to the SIT’s focus