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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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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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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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-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
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. Set delivery standards for code quality, testing, documentation, release readiness and post-launch sustainment. Support the use of AI coding tools to accelerate development while ensuring appropriate
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to collect, translate and verify evaluation datasets. Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solutions
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communications and announcements Validating and publishing learning events in teaching feedback system (Blue System) and assisting tutors with feedback QR codes Computation of teaching hours (tutor & students