320 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" positions at Nanyang Technological University
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, research statement, teaching statement, contact information for three referees, and PDFs of two manuscripts. For more information about NTU Singapore, please visit the NTU website at https://www.ntu.edu.sg
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. The ideal candidate will act as a bridge between business needs and technology solutions, leveraging low-code or no-code platforms to develop solutions that enhance operational efficiency and advance SAO’s
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, behaviours and preferences in the tertiary education demographics (i.e. students and employees) Proven ability in developing and implementing effective marketing/social media strategies and campaigns for large
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), and handle research industry collaborations. To handle research data reporting (statistics/data required by various offices in NTU, external agencies, government organizations and P&T/contract renewals
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Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in reputable international
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Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in
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health issues, academic stress and interpersonal issues within the assigned colleges and/or schools. This includes provision of clinical services through different modes of counselling, i.e. face-to-face
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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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observe and document children’s holistic development in the second year of kindergarten (i.e., at age 6 or K2). Phase 1 of the project focused on the development of the first cut of the teacher-completed
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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