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for the position: You hold (or expect to shortly receive) a PhD in computer science, statistics, mathematics or a related field. You have previous experience in information technology, preferably demonstrated by a
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applied empirical work, to study individual and strategic decision-making, market behavior, and policy-relevant questions. Using experimental methods, econometrics, and statistics, we aim to generate
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, biotechnology or similar). Demonstrated ability to design, plan and execute in vitro and in vivo experiments. Formal accreditation for work with animal models (e.g. FELASA C or equivalent) AND experience with
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methods to investigate human cognition and explore human potential. All admitted Fellows benefit from structured programming, shared research facilities, internal research funding sources and opportunities
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About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon, more efficient and resilient transport
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The job details are shown below. For further information click on the link for the job description. Do you want to apply your mixed methods research expertise to a clinical trial? We are seeking
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Research Training Program. The successful candidate will undertake an intensive post-doctoral training program for up to two years in which they will acquire core skills in research methods including
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this mixed methods project: the design, coordination, implementation, analysis and dissemination of a large statewide study. This is a meaningful opportunity to undertake research with the potential
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economics, management, mathematics, or a related field. Specific requirements: Candidates must also have knowledge/research experience in the following areas: Quantitative methods (e.g., game theory
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-the-loop tools using methods such as eye-tracking, physiological sensing, and uncertainty visualization, contributing to the advancement of research and innovation at Nanyang Technological University. Key