131 coding-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Singapore
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. Claude, Copilot, Cursor) in your day-to-day engineering — for code generation, review, debugging, and documentation — with a clear sense of where they help and where they don't. Solid scripting/programming
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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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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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, workflows, data logic, API integrations, AI-assisted tools and deployment approaches. Set delivery standards for code quality, testing, documentation, release readiness and post-launch sustainment. Support
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into existing workflows and operational processes. 4. AI-Assisted Development and Reusable Utilities Use AI coding tools such as Claude Code, Cursor or GitHub Copilot to accelerate development. Build reusable
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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