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vegetation monitoring, seed science, soil and ecological assessments. Apply statistical analysis and ecological interpretation to generate high-quality research outputs, including technical reports and peer
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executes experiments. Performs lab-based analysis of new and existing clinical samples, advanced statistical analysis of research experiments and results. Utilizes knowledge and skills granted to them by
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The Department of Biostatistics at the University of Washington has an outstanding opportunity for a postdoctoral scholar. The postdoctoral scholar will develop statistical machine learning and artificial
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research fellowship openings, in all area of theoretical and applied mathematics, including statistics. We invite new or recent Ph.D.’s with outstanding research potential to apply for these openings
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) Mathematics and Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (30 ) Age: Must be 18 years of age Veteran Status
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and Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (30 ) Age: Must be 18 years of age Affirmation I
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Cost and Utilization Project) data Training and demonstrated excellence in methods/statistics, including analysis of survey data, claims data, and/or qualitative data Ability to conduct rigorous research
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, linear mixed models, structural equation modeling, multilevel models) You are proficient in using one or more common statistical analysis software packages (R, SPSS, Mplus, Python, etc.) You have a very
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an advantage: Rodent social behaviour, empathy-related behaviour, aggression, fear, or reinforcement learning tasks. Computational modelling, Bayesian statistics, reinforcement learning models, or model-based
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or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal