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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R
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publications, conference presentations, and policy white papers Develop and implement data analysis pipelines for large-scale datasets Present research findings at conferences and professional meetings
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The lab of Professor Alexander Gates, the Connected Data Hub, together with the School of Data Science at the University of Virginia, is looking for a Postdoctoral Research Associate in the area of
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Strong background in multivariate statistics, stochastic modeling, and uncertainty analysis Experience running large-scale simulations on HPC systems Experience analyzing large, spatiotemporal climate
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the Study of Early Education through Partnerships (www.see-partnerships.com ). The postdoctoral research associate will work closely with Dr. Daphna Bassok on large-scale projects related to early
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university. Strong quantitative, communication, and project management skills are also required. In particular, sophisticated quantitative or methodological skills in big data, working with archival data sets