63 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Singapore
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the end-to-end discovery process, including data preparation, statistical analysis, and methods for extracting meaningful insights from large datasets. Core machine learning techniques such as decision tree
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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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and predictions. Use cutting-edge methodologies such as A.I. and machine-learning to accelerate the numerical simulation processes. Develop optimal control strategies for energy systems Publish high
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degree in Signal Processing, Machine Learning, Information Engineering, Applied Mathematics, Information Science, or other related majors is required. Consideration will also be given to candidates who
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for energy saving purpose. The role will focus on geometric representation, multi-physics numerical simulations, machine learning and manufacturability constrained design optimization given metal additive
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through applied research programmes. Faculty in the ICT Cluster undertake funded industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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to validate theoretical approaches, utilizing machine learning techniques to derive meaningful conclusions. Collaborative Projects: Engage in collaborative research with interdisciplinary teams, contributing
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will be offered to students taking NTU EEE MSc Signal Processing and Machine Learning Programme with the objective to impart to the students the knowledge relevant to real-time Digital Signal Processor
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to apply as Part-Time Lecturer for Enterprise Network Design. The Part-time Lecturer is expected to teach an undergraduate elective course commencing in January 2026. This 13-week course is a specialized