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of statistical analysis software (e.g., SPSS, R) and data visualization techniques Previous experience working in a research laboratory setting, preferably in pediatrics or related fields. Equal Employment
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, preferably in neuroscience, psychology, or arts and health, including the creative arts therapies. Preferred: demonstrated expertise in data analysis and statistics (e.g., R, Python, MATLAB, SPSS), preferably
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. Experience with high-throughput data analysis, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational
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education, special education, applied linguistics, or a related field. Required • Expert knowledge of the following programming languages: Python, Javascript, HTML, SQL, R, LaTex. • Experience with
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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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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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or equivalent experience in a research-intensive environment such as a university, national laboratory, or industry R&D. Hands-on experience with advanced semiconductor research infrastructure (e.g., cleanroom
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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