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faculty to ensure the smooth running of research projects. Required Qualification Academic Background: Possess a Bachelor's or Master's degree in Psychology, Sociology, Computational Social Sciences, or a
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interest in furthering study in the social science discipline, is strongly encouraged to apply. Experience in applying data analytics model and machine learning models is a plus. Applicants should have at
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the Telehealth Core we leverage technology & design to accelerate research and improve outcomes in behavioural health & chronic diseases. We focus on delivering tailored interventions in healthcare by building
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, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in
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large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information
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, literature, linguistics and geography. The Department belongs to the Faculty of Arts and Social Sciences (FASS) that combines disciplinary with area studies departments in Asian Studies and is supported by a
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’ workstreams) Have a Master’s degree in a relevant social science discipline from a reputable university Be intellectually curious and possess strong research skills, preferably with some background and a keen
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career in the fields of public policy or social science research, whether in academia, the public service, or the private sector. To apply: Please upload the following documents via NUS Career Page. One
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Business Administration, Accountant, Information Technology or equivalent. 5-8 years of relevant working experience. Strong knowledge of finance business processes in the area of Order To Cash (OTC), Procure
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applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science