114 computer-science-programming-languages-"the"-"U"-"UCL"-"O.P" positions at National University of Singapore
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the Asian Studies Programme within the Faculty of Arts and Social Sciences. SASP, in which the position will be anchored, was established in 1999 and is multi-disciplinary in its research and teaching (at
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. This is an exciting opportunity to join us as a Research Assistant in Computational Social Science under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and eye disorders. The De Paola Lab at Duke-NUS
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. Qualifications Interested candidates should have the following qualifications and capabilities: • Master’s degree in a branch of Data Analytics, Applied Statistics, Mathematics, Computer Science or comparable
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quantitative research methods will be advantageous. Experience or training in health economics will be an advantage. Have experience with R programming language, or Python and a willingness to learn more
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. The projects are part of a large 5-year research program (2024-2028) which has collaborators in Singapore and the United States. The Principal Investigator of this project is located at Lee Kuan Yew School
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Programme Excellence • Contribute to the development and launch of new academic programmes, from ideation to implementation. • Collaborate with internal and external stakeholders, including the Ministry
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. Application deadline: 30 June 2025 Key Responsibilities Research and Programme Development Conduct research and coordinate with faculty members across the relevant departments to facilitate curriculum
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liaison for Undergraduate Studies during outreach activities, engaging with prospective students, school counselors, and handling academic programme queries. Manage stakeholder relationships and promote
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other tasks required by the principal investigator. Job Requirements • A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management