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University of Louisville Department of Civil and Environmental Engineering | Louisville, Kentucky | United States | about 8 hours ago
: Relevant tasks include: 1) leveraging numerical models, statistics, and field monitoring to understand hydrologic processes, especially related to floods; 2) communicating research findings via scientific
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methods based on plane-wave approaches or raytracing methods and the statistic distributions of field quantities of general validity for the time and frequency domain and different loading conditions are
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taught or research Master's degree in Behavioural Science, Psychology, Pedagogical Sciences, Educational Sciences or Communication Science). You have excellent research, methodological and statistical
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on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses