134 coding-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Singapore
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of Artificial Intelligence and Software Security. The role will focus on advancing the use of large language models and agentic AI systems for secure software development, vulnerability detection, automated code
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that NTU’s rules, practices and codes of conducts on intellectual property rights and academic integrity are strictly adhered to. Any other task that may be necessary for the successful delivery of the course
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pipelines for data pipeline code; apply version control best practices. • Monitor pipeline health, set up alerting for failures, and respond to incidents. • Contribute to infrastructure-as-code
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Payment Validate invoices/credit notes/receipts for accuracy, completeness, and correct GL coding, ensure supporting documents and approvals are in place. For Accounts Payable, ensure 3-way matching with
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degree in mechanical/aerospace/civil engineering with strong expertise in experimental and computational fluid dynamics. The candidate must have experiences in coding, designing and developing flow
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Development and Reusable Utilities Use AI coding tools such as Claude Code, Cursor or GitHub Copilot to accelerate development. Build reusable scripts, templates and utilities for data cleanup, reporting
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Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. First-hand experience in neuro-symbolic methods. E.g. code generation
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prototype deployment; assist with basic UX refinement based on clinician and end-user feedback. - Maintain high-quality documentation of datasets, code repositories, model versions, experimental protocols
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professional values that are in line with the Code of Ethics of SAC Possess good interpersonal and communication skills Proficiency in IT skills (e.g. Microsoft 365, use of Apps, appointment booking systems
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-native solutions. Exploit AI-assisted coding tools, automated testing, and CI/CD pipelines in enterprise application development workflows. Institutional AI & Data Hub Adoption: Champion the adoption