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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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are seeking for a full-time Postdoctoral Fellow to work on projects in the area of household finance, investment, and financial literacy. The project is part of a large 5-year research program (2024-2028) which
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, and scientific writing in the fields of ageing, health, and social sciences. The successful candidate will be expected to support the management and data analysis of a large longitudinal study of older
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. Proficient in using tablets for data entry. 5. Proficient in English (read and write). 6. Comptency in Excel (large tables, pivot, formulas) More Information Location: Kent Ridge Campus Organization: Saw Swee
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small and big-scale in-person and online events for the NUS and local research ecosystem. There is opportunity to work with a diverse group of internal and external stakeholders, partners and participants
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experience managing cross-functional teams and collaborating with internal and external partners. Prior experience in budget tracking, procurement processes, and reporting within large-scale programmes
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. ⦁ Experience with various stakeholders and managing large-scale door access control system. ⦁ Good planning and organisational skills. ⦁ Self-motivated with the ability to multi-task and work with minimal
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data collection and research plans Establishing and the management of large databases Interpretating and analysis of data, utilising an array of methods and modelling techniques Generating reports and
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data from major facilities, including NASA’s Kepler, TESS, and JWST missions; ESA’s Gaia mission; and large-scale spectroscopic surveys such as LAMOST. Experience working with large, complex datasets is
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on large volume of data Well-organized with good monitoring and follow-up skills within tight deadlines Confidentiality, tact and discretion when dealing with confidential data Positive attitude, able