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Strong analytical and problem-solving skills. Proficiency in data analysis software (e.g., R, Excel). Excellent written and verbal communication skills. Ability to work independently and as part of a team
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and clinical data using bioinformatics software and methodologies (e.g. R/Bioconductor statistical environment) Previous specialist experience and in-depth specialist understanding of relevant
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of working within a Unix/Linux HPC or cloud computing environment Proficiency in programming (e.g. using Linux/Python and R), command-line applications, and programming standards such as version control High
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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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, and skills in modelling & programming tools such as SINCAL, PowerFactory, OpenDSS, PSCAD, Python, Matlab, R, or Julia would be desirable. For full details about this role, please review the Position
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learning models. b) Experience in using data analysis software (e.g., SPSS, JASP, JAMOVI) and R and/or Python programming. 5. Workplace: The workplace is located at the Center for Psychology at University
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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