196 information-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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for maritime industry in Singapore and beyond. The work package WP2.4 in FSSD will conduct research in the areas of autonomous system dynamic modeling, simulation, testing, data and video analytics, machine
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rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. The primary responsibility of this role is to deliver on an industry
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operation. Ensure safety, cleanliness and order of the facility. Assist in the preparation of Risk Assessment, Safe Work Procedures and other relevant documents. Track records of all documentation including
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Job Purpose: The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver an industry innovation research project as part of a research team developing
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. Degree in Infocomm, Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology or equivalent. Possessing a Master’s or PhD degree will be advantageous. Strong interest and
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devices; evaluate and integrate new analytical instrumentation. Testing & Characterization: Design and execute experiments to evaluate mechanical, thermal, and chemical properties; analyze data to inform
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The primary responsibility of this role is to deliver on an academic research project funded by MPA, where you will be part of the research team under the project titled: HarbourCraftSafe: Fire
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities