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the SG100K team to shortlist participants for recruitment Run focus groups to get user feedback on procedures and concerns Check data flows, analyze the data to inform future large-scale implementation Write
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experience with quantitative data. Adept at working with data, including processing raw data to visualise trends and decipher patterns, and able to handle large data sets. Prior experience in various
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, side-averaging, and GLIM. These tools provide new opportunities to explore the Golgi from previously inaccessible angles. Using them, we have gathered preliminary data suggesting dynamic changes in Golgi
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Statistical Package for the Social Sciences (SPSS) and/or NVivo qualitative data analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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be in close collaboration with experimental and clinical collaborators and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies
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disseminate findings for the upcoming large-scale longitudinal study Research on Early Education and Development in Singapore (REEDS). Requirements: Bachelor’s or Master’s degree in Psychology, Education
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We are seeking multiple full-time Research Assistant(s) who will assist with quantitative data analysis in ongoing projects on the economics and demography of aging, pensions and retirement, as
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the Linux/Unix OS, and associated compilation/build tools. Experience with web frameworks, API development, chatbot development, and Large Language Models is advantageous. The Research Assistant will also