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The Department of Operations Research & Financial Engineering (ORFE) invites applications for a postdoctoral position broadly in statistics and machine learning. This position is supported through
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letters) for at least 2 references (we will contact references for letters at a later stage). PREFERRED - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R
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Ph.D. in quantitative ecology, climate sciences, population biology, applied mathematics, statistics, or an equivalent discipline. Additional experience in climate, meteorological, or environmental data
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are particularly interested in candidates with computational modeling and strong statistical skills. Other duties include contribution to other ongoing center projects, preparation of and participation in workshops
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troubleshooting experimental protocols 3. Processing, organization and storage of sequencing data - Run basic sequence alignment and quality filtering protocols - SNP calling and summary statistics of large
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towards robustness and exploration. Experience with probability/statistics, calculus, machine learning, reinforcement learning. Be advised that you will be contacted only if there is further interest in
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of population genetic statistics for analyzing microbiome data. Additional responsibilities include maintain labs servers and training undergraduate and graduate students and postdocs in bioinformatics
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information. Responsibilities will include establishing and managing collaborative, multisite research projects; conducting advanced statistical analysis on complex data sets; disseminating research through
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. Deike, Breaking wave statistics with a multilayer model, J. Fluid Mech. 968 [2023] A12). The projects have overlapping synergies, and the postdoctoral researchers will interact with graduate students
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, Monte Carlo simulations, statistical mechanics, fluid mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins and nucleic acids), coarse-grain and