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stochastic processes, Markov models, dynamical systems, quantum walks, or related mathematical approaches. Experience with computational model fitting, Bayesian inference, simulation, or formal model
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approaches to data analysis. We welcome applicants working across a variety of approaches, particularly computational and Bayesian, and with a range of data, including text, survey, and panel data. In
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Experience in one or more of the following areas is preferred: Statistical genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data
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RNA and RNA machines, but all areas of RNA biology will be considered. Indiana University Bloomington provides a highly collaborative environment for RNA research, with existing strengths in structural
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structural biology, virology, genomics, computational biology, RNA regulation and modification, and synthetic biology. We encourage applications from scholars who apply interdisciplinary perspectives and share
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. The chemical biology area of the Department of Chemistry is located in Simon Hall, home to our graduate training program in Quantitative and Chemical Biology and nearby other biochemists and structural
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RNA and RNA machines, but all areas of RNA biology will be considered. Indiana University Bloomington provides a highly collaborative environment for RNA research, with existing strengths in structural
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structural biology, virology, genomics, computational biology, RNA regulation and modification, and synthetic biology. We encourage applications from scholars who apply interdisciplinary perspectives and share
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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– Indiana University (Bloomington, IN). Assist in the conduct of research, including isolating nucleic acid samples for quantification and analysis, PCR, library construction for next-generation sequencing