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conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: • Participate in and manage the
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on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important. Key Responsibilities: • Participate in and manage
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software engineering, application development, platform engineering or AI platform delivery, with hands-on coding and integration experience Strong software engineering and development skills, with
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documentation required for project reviews, dissemination, and future translation/commercialization. Supervise and mentor junior research staff and students, including guidance on experiments, coding, data
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digital heritage, cultural technologies, museums, archives, exhibitions, or public engagement. - Interest or experience in creative coding, interactive installations, digital storytelling, data
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sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project ( https://www.nparks.gov.sg/Cuge/Programmes
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until the position is filled. All applications must be submitted through the SIT website ( https://careers.singaporetech.edu.sg/en/job/ ). Eligible interested applicants must submit their CVs and
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. Build AI-assisted operations, such as agents and automations for incident triage, cost and compliance reporting, and infrastructure queries. Use AI coding assistants and agents (for example GitHub Copilot
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controls into engineering and release processes. Establish engineering standards, reusable templates, testing frameworks, coding conventions, and documentation practices. Promote automation