329 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Nanyang Technological University
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Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills Strong coding and implementation skills in
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initiatives. Working closely with business stakeholders, their primary responsibility is to understand business needs, document, develop, tests and implement low-code solutions to automate business processes
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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research takes place at the boundary of quantum optics, particle waveshaping and nanomaterials. Read more about our work at our group website https://sites.google.com/view/ljwgroup . Key Responsibilities
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operational goals. Build and maintain production infrastructure to be resilient, secure, and high-performing. Implement infrastructure-as-code to automate systems configuration, provisioning, deployment, and
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backend and frontend applications for AI and data-driven platforms Develop and maintain web applications using Python, Flask, React.js, and related frameworks Implement clean, modular, and maintainable code
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), vulnerability detection, and LLM-powered code generation. With experience in developing multi-agent repair systems, integrating program analysis with LLMs, and exploring vulnerability detection frameworks
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of Microsoft applications. Tech-savvy, with a basic knowledge and understanding in SQL and web markup language coding. Proficiency in Chinese is essential as the job holder is expected to review database records
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. Ability to work independently, manage deadlines, and write clean, reproducible code. Strong interest in finance research and excellent communication skills. Interested applicants should submit a cover
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(RAG), and fine-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code