211 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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safety in labs Job Requirements Education & Certifications: Bachelor’s or Master’s degree in Software Engineering, Computer Science, or a related field from a recognized university. Experience: A seasoned
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the use of education, exercise, manual therapy, electro-physical agents, technology or any other treatment for those purposes (Allied Health Professions Act 2011). Where to apply Website https
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. Supported Areas for START - Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability
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Singapore Institute of Technology (SIT), National University of Singapore (NUS), National University Hospital (NUH), University of Glasgow (UOG), Queen Elizabeth University Hospital (QEUH), Glasgow Royal
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT. The primary responsibility of...
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28 Oct 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage
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-physical agents, technology or any other treatment for those purposes (Allied Health Professions Act 2011). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/403791/moe-start-scheme
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safety in labs Job Requirements A good degree in Building Services, Mechanical Engineering or a related field. Masters, PhD and/or relevant professional certifications like registered PE/CEng would be
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distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices. Sustainable Infrastructure Engineering & Maintenance: Construction technology
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Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is