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networking activities. The successful candidate should: Possess a PhD in international political economy, international relations, political science, or related disciplines; or those with relevant working
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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and maintenance of equipment. Job Requirements Have relevant competence in the areas of science and engineering Have a degree in STEM discipline. Possessing a Master’s or PhD degree will be advantageous
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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). Qualifications The candidate should possess: A Master’s or PhD in Psychology/Behavioural Science/Public Health or any discipline related to health or biomedical sciences. Minimum of five (5) years of project
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Requirements A PhD degree in computer or related programmes and have relevant competence in artificial intelligence (AI). Knowledge and experience in NeRF/Gaussian Splatting will be advantageous. Able to build
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Research Design and Execution: Design and implement qualitative research studies that address pressing challenges in ageing and population health. Conduct applied research focused on informing programme
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discipline closely related to data visualisation and analytics by date of appointment, with evidence of interdisciplinary research applying computational methods to the social sciences. This includes but is
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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication
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record in research and publication. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches