110 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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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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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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. 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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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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requirements. Administrative and Operational Duties Oversee daily operations of the Design Factory, including facilities, safety, and scheduling. Support academic delivery through preparation of learning
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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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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