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platform Familiarity with R Statistical Software and inferential statistics Data analysis and data visualization in R (advanced) Strong written communication (can write an analysis white paper) Ability
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job posting. The Postdoctoral Research Associates will be appointed through the Center for Statistics and Machine Learning with the possibility for affiliation with other academic departments and/or
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Postdoctoral Research Associates in a parallel job posting. The Postdoctoral Research Associates will be appointed through the Center for Statistics and Machine Learning with the possibility for affiliation with
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algorithms. 2. Analyze reinforcement learning algorithms. Essential Qualifications Experience with probability/statistics, calculus, machine learning, and reinforcement learning Be advised that you will be
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Company: Princeton University Description: The Center for Statistics and Machine Learning (CSML) at Princeton University invites applications for Postdoctoral Research Associates position. Appointments
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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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
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background in theory and advanced computational methods in statistical mechanics and/or electronic structure theory. The researcher will collaborate, in an interdisciplinary environment, with the associated
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Qualifications Experience with probability/statistics, calculus, machine learning, and reinforcement learning Be advised that you will be contacted only if there is further interest in your application. Your
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, statistical mechanics, fluid mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins and nucleic acids), coarse-grain and polymer model development, multiscale