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record of scholarship and leadership in health professions education. Proficiency in statistical analysis software (e.g., R, Python, SAS, SPSS, Stata) and strong skills in data cleaning, management, and
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, pharmacology, engineering, bioinformatics, or a related field. Preferred: Prior pharmacokinetic modeling or machine learning experience using software such as R, Python, MATLAB, GastroPlus, PK-Sim, Phoenix
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or national conferences, purchase of education materials). Required Qualifications: Ph.D. in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field. Preferred: Proficient in R
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mathematics education. Experience with coding languages for data management and analysis (e.g., R, Python, SQL) Experience with assessment and survey development. Experience with testing validity and
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programming skills in the language R. Preference to candidates with demonstrated skills in verbal and written communication including presentations at national meetings and peer-reviewed publications in the top
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in such a way as to be accessible by lay and professional audiences Technology • Using R, SAS, Python, SPSS, Tableau, and/or other database/analytical software platforms at an intermediate level of
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record of scholarship and leadership in health professions education. Proficiency in statistical analysis software (e.g., R, Python, SAS, SPSS, Stata) and strong skills in data cleaning, management, and
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. Proficiency in computational tools such as Python, R, MATLAB, or similar. Excellent written and oral communication skills. Demonstrated ability to work both independently and collaboratively in
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. university groups within CMS. Our instrumentation expertise spans detector operations and upgrades (Level‑1 muon trigger, CSC muon system), tracking algorithm R&D, and future HL‑LHC trigger algorithm
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This position will utilize data science and statistical software such as Python, R, and SAS, to analyze and interpret research data. This position will also use other database/analytical software platforms (e.g