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interpersonal, communication, organizational, problem-solving, and statistical software skills (e.g., R). Strong background in quantitative data analysis and research methodology is preferred. Ideal candidates
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optimization. • Proficiency in programming (Python, R, Julia, or similar) and experience with frameworks like PyTorch, TensorFlow, or JAX. • Prior research in statistical learning and online optimization
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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such spectra. There is an option to also work on the CMS experiment for a fraction of the time, and/or detector R&D for future colliders. On the CMS side, the Purdue group has extensive involvement in many
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for an outstanding, passionate and driven postdoctoral research associate to work on the CMS experiment, and detector R&D for future colliders. The Purdue CMS group has extensive involvement in many aspects of CMS
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longitudinal analyses preferred but not required), including independence with use of SAS, SPSS, and/or R software Ability to efficiently multitask and meet deadlines Skill in taking initiative, assuming