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stakeholders and external clients/sponsors. Ensure all data handling and analysis comply with stringent data security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data
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. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data
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to formulate mathematical models of the problems and develop efficient solution methods, particularly by leveraging techniques from machine learning and operations research. b) The applicants are expected
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: Contribute to the design of an evidence-based outcome measurement framework for the project; Conduct comprehensive impact measurement research on the project with both qualitative and quantitative methods
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on computational and theoretical condensed matter physics. Areas of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and
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when necessary. Requirements: Possess a PhD in relevant field and research scope; Strong research publication track record; Possess analytical capability and effective communication skills; and Good
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Department. Requirements 1. A PhD degree or equivalent qualification, preferably with at least 2 years of relevant postdoctoral research experience; 2. A strong background in Mathematics/Applied
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, and/or other competitive external fund, as Principal Investigator or Co-Investigator; (b) provide supervision to MPhil or PhD students; (c) provide quality teaching at undergraduate
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statistical software such as SPSS and/or R Self-motivated, mature, responsible, organized, and able to work independently and as a team Applicants with less experience may be considered as Research Assistant I
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Post-doctoral Research Fellow position; Ability to develop a body of high-quality publications in high-ranking journals; Proficiency in statistical software packages, including R and Stata, for large and