148 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at Nanyang Technological University in Singapore
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or related field Proficiency in coding, quantum computation, quantum error correction, non-Markovian noise Good written and oral communication skills Ability to work independently, excellent organizational and
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): Experience with Infrastructure-as-Code (IaC) tools such as Terraform. Familiarity with container orchestration using Kubernetes. Prior experience working within higher education or ed-tech environments. How
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, including clean and modular code, Git, testing, documentation and code review. Hands-on experience with PyTorch and modern NLP/LLM frameworks, especially the Hugging Face ecosystem such as Transformers
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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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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
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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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operations, maintenance, contract administration and project delivery. Strong knowledge of ACMV systems, asset lifecycle management, contract administration, local engineering codes and operational risk