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, blockchain, and AI applications. This role offers opportunities for cross-disciplinary collaboration with leading international institutions. Responsibilities: Lead and conduct large-scale data analysis using
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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quantitative fields Experience in writing production level code in Python Strong background in data engineering, big data management, data modeling and warehousing Strong background in other programming
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experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis. • Working experience in big data and DataSecOps is an added advantage
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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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projects, including large-scale surveys, intervention trials, and qualitative studies. Manage project administrations and logistics, including data management and adherence of IRB procedures. Disseminate
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services, preferably Microsoft Fabric. • Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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the management of large datasets (in the excess of 21,000 data points) and advanced data analyses, including Hierarchical Linear Modelling and Growth Modelling. Additional responsibilities include providing drafts
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a