2,042 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions in Singapore
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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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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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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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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