178 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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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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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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the research team to develop solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications. As a Research Engineer (Electrical Engineering
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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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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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FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree
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, and workplace training with a focus on real-time interactive simulation. (app developer) Design, build, and implement a multiplayer architecture and backend services for a real-time AR/VR multiplayer
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10 Oct 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Management sciences Communication sciences Economics Researcher Profile Recognised Researcher
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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