503 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" uni jobs at Nanyang Technological University in Singapore
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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of implementation and data integrity. · Manage participant recruitment, scheduling, and logistics for classroom-based studies. 3. Data Collection and Analysis · Conduct quantitative and qualitative data analysis
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holders — who can demonstrate the following skills: End-to-End Project Delivery: Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis
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processes for postgraduate students: a) Verify and analyse applicant information for accuracy, relevance, and completeness to ensure informed decision-making. b) Database management–maintain data
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boundaries of AM material innovation and supports NTU’s commitment to sustainable and impactful technological development. Key Responsibilities: Conduct data acquisition campaigns, collecting synchronized
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data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve
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, valuations, funding rounds, company status and milestones as well as key contractual commitments. Manage and curate portfolio data within the CRM system, ensuring data accuracy, consistency, and timeliness
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, and full-stack development, supporting the deployment of intelligent, data-driven solutions that are reliable, efficient, and user-focused. Key Responsibilities: Design, develop, and maintain scalable
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. Requirements: Essential Master’s degree or PhD in sciences or social sciences Experience with data collection (qualitative and quantitative) Excellent written and spoken English Has assisted or coauthored
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administrative support, and undertake project management responsibilities to ensure the timely and high-quality delivery of project outputs. Key responsibilities: Conduct literature reviews, data collection and