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• Familiar with economics, logistics, management, and/or modelling of complex systems • Experienced in coding and data visualization • Familiar with AI, machine learning
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research initiatives. Key Responsibilities: Support CoHASS researchers in exploring and applying digital methods and tools, including coding, empowering principal investigators to integrate digital tools
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databases. Write clean, well-documented, testable, and maintainable code that promotes reusability and future development. Oversee website maintenance, expansion, and content management. Deliver secure
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of advancing trustworthy AI and cyber security research, with a particular focus on the runtime safety of autonomous coding agents. The Research Assistant will support ongoing research on safe reinforcement
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-house applications to ensure optimal performance and user experience. Collaborate with cross-functional IT teams for system deployment and integration. Ensure high standards of code quality, test coverage
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knowledge of applied statistics, empirical research methods and quantitative analysis. Experience handling, cleaning, validating and analysing complex datasets. Good coding skills; familiarity with Python and
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is preferred. • Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell. • Ability to construct and write papers for leading research journals and conferences
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research projects conform to Singapore’s laws and regulations (e.g., Human Biomedical Research Act, Medicines Act, Personal Data Protection Act, Penal Code, Health Products Act, etc, and their related
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for security vulnerabilities and recommend secure design patterns for agentic, multimodal, and RAG applications. Software Engineering: Proficient Python skills with commitment to clean, maintainable code
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thesis examination and award of the PhD degree are welcome to apply. Experience in computational math. Proficient in coding languages, such as C, C++, Fortran, and Python. Strong written and verbal