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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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calculus, linear algebra, probability and statistics, and possess strong proficiency in mathematical thinking and abstract reasoning. Cellular, biochemical, molecular experimental skills Experience working
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Science, Statistics, Applied Mathematics, or a related field. • Strong background in convex analysis, statistical machine learning (reinforcement learning, LLM and generative modeling), stochastic modeling and
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the theory, concepts, and approaches used in the Dunn Lab. Experience with designing and implementing research projects that integrate biological and environmental data. Excellent organizational and project
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-author papers in peer-reviewed journals Expertise in the theory, concepts, and approaches used in the Dunn Lab Expertise in statistical analysis methods, such as linear and logistic regression and