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Scheduled Hours 40 Position Summary The Kwon lab is a dynamic group of clinical and translational investigators dedicated to improving infection prevention and combating antimicrobial resistance (AMR). We conduct studies focused on characterizing AMR reservoirs in the human and environmental gut...
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clients to scope and define analyses and communicating findings to audiences across the University. The ideal candidate will have detailed knowledge of statistical methods, the ability to communicate both
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emotion regulation, well-being and/or aging. Experience working with adult lifespan samples. Fluency in the use of R or SPSS for data cleaning and statistical analyses. Knowledge of and experience with
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management, complex statistical analysis, and reporting of data related to projects within the Section of Population Health. The Section’s projects bring together multiple clinical and academic disciplines
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trend data. Participates in the development of quantitative research tools internally and with external partners. Provides reporting and statistical summaries and analysis of admissions and aid data
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Ph.D. degree in Neurogenetics, Bioinformatics, Computational Biology, Statistical Genetics, Biostatistics, Medical Statistics, Neuroscience, Genetics, Statistics, Mathematics or related. Six years
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work. · Maintain and implement an extensive applied research and networking program with current and future partners (30%) · Conduct bioinformatics and statistical modeling (20%) · Supervise and mentor
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staff by promoting a smooth operation, preparation of regulatory compliance and interaction with other departments; conducts statistical analysis of acquired data and assists with manuscript writing. Job
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trend data. Participates in the development of quantitative research tools internally and with external partners. Provides reporting and statistical summaries and analysis of admissions and aid data
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, manipulate, and analyze academic data from various sources such as Academic and Student Affairs, Finance and Budget Strategy, and the Office of Academic Personnel • Build and analyze sustainable statistical