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the direction of Dr Maslovskaya, you will be part of a large multi-institution team of survey data collection methods experts in the UK. You will analyse probability-based NatCen online panel data collected using
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education (co-op) program in the country with students earning $88.8 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes
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(geostatistical) data analysis approaches (at least Excel and ArcGIS, but preferably also R and Grapher or similar) is a requirement Strong skills in statistical analysis and the handling of large spatiotemporal
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. • Expertise in research design and data analysis, including any of the following: clinical trials, implementation science, economic evaluation, digital health, statistical analysis for clinical trials, big data
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of custom computer code, and the processing of large-scale simulations using massively parallel resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence
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, translational research, and ultimately by influencing public policy and professional practice. We are seeking two Research Fellows in Epidemiology to work on the data analysis and paper writing of the Natsal
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developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field experiments. The projects will focus on products
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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visualization, geospatial analysis, and processing of large amounts of meteorological and remote sensing data. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field