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one of 16 departments in a large Faculty of Arts and Social Sciences, which is home to a comprehensive range of programmes in Asian Studies, Humanities, Social Science, and Language Studies. The Lee
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, systems implementation, data analytics and visualisation, AI and/or RPA, will be advantageous. Proven track record of successfully managing large-scale system or digital transformation projects in
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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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complex information clearly. Duke-NUS-owned platforms : • Edit content for internal and external publications, and social media platforms. • Build relationships with faculty, staff, alumni, students
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and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial
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collecting field data, with both tree survey and terrestrial laser scanner. Your will spend a large proportion of your time on field work. Support project administration and management, including but not
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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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opportunities aligned with CDE’s goals. • Oversee the analysis of historical CDE funding data to assess research capabilities, identifying both strengths and gaps. • Develop recommendations that inform
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sessions. Requirements: Possess at least a Bachelor's Degree Proficient in MS suites of software Able to handle and conduct analysis on large volume of data Able to multi-task Outgoing and enjoy interacting
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adults can shape the design of inclusive tools, such as large language models (LLMs), to support more autism-affirming work environments. The role offers a unique opportunity to contribute to participatory