2,038 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" positions in Singapore
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HOP Tool (HOP V1) and preliminary tool completion guide. In Phase 2, HOP V1 will be piloted with K2 educators and will be refined into HOP V2 based on psychometric data and stakeholder feedback. In
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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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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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managing the scheduling, data collection and quality assurance of EEG, MEG, fNIRS and fMRI research projects. You will also collaborate with researchers and directors to ensure sound technical support for
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processes, including application management, interviewing scheduling, and applicant communication. Provide information to prospective students, parents, and schools regarding admissions and financial aid
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an active role both 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
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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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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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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis
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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