2,016 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" "Univ" positions in Singapore
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to generate and process application data/documents, perform checks and verifications, liaise with donors, faculty and students to arrange interviews and preparing data for selection committee. Ensure awards
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the mechanisms contributing to sporadic ALS progression, helping to pave the way for novel therapeutic strategies. They will collaborate closely with data scientists and experimental colleagues to ensure thorough
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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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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
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of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven workflows — from API integration to cloud architecture and data lake
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-conventional geothermal energy into data centre cooling in Singapore. We are seeking a Research Fellow to lead the development of advanced modelling and design methodologies for integrated hydrogen-energy
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sample integrity and compliance with regulatory requirements. - Assist in the development and optimization of biobanking workflows. 5. Data Management and Analysis: - Compile and organize experimental data
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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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respond to registration/logistics queries. PSS: Manage this two-way channel—disseminate event and volunteer information to Peer Supporters, and serve as the first point of contact for their enquiries and
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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