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Job Description Job Alerts Link Apply now Job Title: Research Fellow (CBDS/SES) Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a
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maintain hybrid scientific data platforms, focusing on backend systems that support both cloud-based and on-premise infrastructures. The role enables secure, human-centred analysis and sharing of scientific
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and acquire spectral data Perform Raman spectral data analysis using machine learning algorithms Work with DiSTAP plant biology collaborators, training researchers in spectrosocpy Work with local
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efficiency and data integrity. Key Responsibilities: Gift Processing: Accurately enter and classify donations in the database, ensuring compliance with donor intent. Acknowledgment: Generate and send timely
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in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects. We are looking for a Predoctoral researcher who can work as a Data Scientist, Machine Learning
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internationally and locally in the core and emerging areas of Computer Science and Information Systems. We invite applications for a Research Assistant position in the area of efficient and interpretable machine
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of undergraduate admissions processes, including application management, interviewing scheduling, and applicant communication. Provide information to prospective students, parents, and schools regarding admissions
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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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solutions from scoping and data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying
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the Office of Information, Knowledge and Library Services (OIKLS). It is responsible for the provision of seamless access to information resources and library services critical for the NTU community’s teaching