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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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., RNA-seq, GWAS) Proficiency in R, Python, or similar computational tools Department Contact for Questions Questions regarding the position or application process can be directed to Dr. Tess Leuthner
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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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