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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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the Methodologies Used to Incorporate Non-randomised Evidence in Healthcare Decision-making” project (Chief Investigator: Prof. Kate Ren ) aims to develop innovative statistical and causal inference methodologies
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cohort study. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment of >80,000
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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Researcher. The successful applicant will work with Prof. Wang within the NUS AIoT Group. We pursue research and develop disruptive technology in satellite network, wireless systems, sensing, and AI. We build
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limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab and Stata) is highly desirable. The candidate must be self-directed, thrive on independent
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-career postdoctoral researchers who would like to apply for the MSCA Postdoctoral Fellowship 2025 with Prof. Symeon Chatzinotas and/or Prof. Eva Lagunas as Academic Supervisors. Your research interests
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Language Sciences. The lab comprises of a team of researchers and PhD students led by Prof Ayelet N. Landau. We research the psychological and neural mechanisms of attention, time perception with a specific
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. In this exciting role and project, you will work under the direction of Prof. Chen-Ting Liao and in collaboration with other researchers for future applications. For additional information about the
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models and software. The postdoctoral fellows would be supervised by Prof. Huaxiong Huang and his research team members and collaborators. Required qualifications Minimum PhD in scientific computing in one