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automation, embedded and real-time systems, computer architecture, or related fields. Entry level candidates are welcome to apply. Experienced applicants are preferred. We regret that only shortlisted
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on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in AI-assisted design for chiplet-oriented architectures, aiming to demonstrate secure intelligent
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agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable
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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms
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. Requirements: Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering or related discipline. At least 20 years of IT experience which consist of: 10 years of project management
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) Build mock data generators and unit tests for isolated component validation Requirements: Minimally Bachelor in Computer Science or related fields with minimum 7 years of experience. Strong Python
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reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its
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, architecture, material engineer. The Research Fellow will be responsible for conducting and leading simulations, field measurements, data analysis, as well as laboratory and field testing throughout the duration
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on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in chiplet-based architectures, aiming to demonstrate secure intelligent computing platforms
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, and blockchain-based infrastructures. Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks for next generation blockchain