29 finite-element-analysis Postdoctoral research jobs at Cornell University in United States
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open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset) and open-source libraries to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO
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collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
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collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
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cultures, molecular and genetic analysis, and protein analysis techniques. Additionally, we are looking for candidates who demonstrate proficiency in data collection, rigorous data analysis, and effective
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collected from naturally infected animals. Most of the effort will be spent on cell cultures, molecular tests, animal studies, and associated data collection and analysis. Start date is negotiable. The
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naturally infected animals. Most of the effort will be spent on cell cultures, molecular tests, animal studies, and associated data collection and analysis. Start date is negotiable; The successful candidate
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open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset) and open-source libraries to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO
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in qualitative and quantitative research methods and data analysis tools, such as R, SPSS, Stata, MAXQDA, and Nvivo. Aid in the analysis of data to derive insights into best practices for practitioners
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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data
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to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO will be tasked with creating open data and computational resources for education researchers and developers