1,471 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in Singapore
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Development (PCHD) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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Building Science, Technology, and Sustainability. • Teach undergraduate and postgraduate courses related to building performance, building systems, and related topics in building science, technology, and
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) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise
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future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description Asset Management Routine-Based
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these areas, please visit the SSHSPH Careers page at: https://sph.nus.edu.sg/about/careers/ Job Requirements A recognised Doctoral degree in a relevant discipline with a clearly established and coherent
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position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Where to apply Website https://www.timeshighereducation.com/unijobs/listing
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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 research staff will have the
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third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly