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papers and reports including data collection and data analysis Proficiency using SAS, SPSS, R, and/or STATA statistical software Analyzing and interpreting various forms of cross-sectional, longitudinal
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Texas A&M University, Physics and Astronomy Position ID: TAMU -PHYS -POSTDOC [#29977, R-083493] Position Title: Position Location: College Station, Texas 77843-4242, United States of America [map
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Texas A&M University, Physics and Astronomy Position ID: TAMU -PHYS -RAP [#29825, R-081877] Position Title: Position Location: College Station, Texas 77843-4242, United States of America [map
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pages); reference letters will be solicited upon application. Postdoctoral Research Associate (Experiment) Apply: R-083317 Postdoctoral Research Associate (Theory) Apply: R-083318 TAMU is an Equal
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modeling of mosquito-borne diseases as proven by peer reviewed publications. Demonstrably strong programming skills in R or Python. Experience with population biology, population genetics, or ecological and
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, population genetics, or ecological and epidemiological modeling, and 3) an interest in mosquitoes and/or mosquito-borne diseases. The candidate should have demonstrably strong programming skills in R or Python
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methods such as in-situ infiltration sampling, topographic and bathymetric surveying. Proficiency in programming languages such as Python and R. Responsibilities Research- Under general supervision, is
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profiling (e.g., flow cytometry, ELISA) Experience with statistical analysis software (e.g., GraphPad Prism, R) for immunological data interpretation Prior publication record in peer-reviewed journals related
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Microsoft Word, PowerPoint, and Excel are required Experience with using imaging analysis tools, such as lmageJ, and using R, SAS, or other statistical analysis tools Ability to multi-task and work
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with statistical software, such as R, Stata, SPSS, Python Knowledge, Skills, and Abilities: Strong interpersonal, organizational, and customer service skills Maintains attention to detail and utilizes