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Field
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to software tools to deploy developed approaches (10%) • Contribute to other publications, grant proposals, and internal R&D efforts (10%) • Contribute to professional service activities (10%) Minimum
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in human cellular immunology, T cell and Treg biology, genomics, functional genomics, fluorescence-activated cell sorting, and spatial imaging. Bioinformatics: develop or increase proficiency in R
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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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Qualifications: A record of peer-reviewed publications. Expertise in the use of 3D imaging programs (e.g., Dragonfly, Avizo, or VG Studio). Competency with statistical software (e.g., R). Position Description We
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, Presentations, Python (Programming Language), Quality Check, Researching, Results Reporting, R Statistics, Scientific Writing Questions For frequently asked questions about the application process, please refer
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presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and publications. Present
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, Statistics, Epidemiology, or Computer Science -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA. Pay
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-department Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The R. Ken Coit College of Pharmacy invites qualified applicants to apply for the position of Postdoctoral
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research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods using R. • Familiarity with