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Field
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EXPERIENCE in: Scientific/Academic writing Research methodology (Quant or Mixed Methods) Experience with statistical software (e.g., R, Mplus, SPSS, etc.) Credentials must be obtained prior to the start date
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Number req26460 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Location Tucson Campus Address
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Medicine Postdoc Appointment Term: Fixed term for one year, with opportunity for renewal Appointment Start Date: September 2026 Group or Departmental Website: https://med.stanford.edu/neonatology.html(link
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, visit https://idrt.tamu.edu What We Want The Institute for a Disaster Resilient Texas (IDRT) is seeking a highly motivated Postdoctoral Research Associate to contribute to cutting-edge research and
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, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in optics, optical microscopy or imaging Prior experience integrating hardware and software
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access to the nation's leading user facilities for high-performance computing and scientific networking. The project will also closely synergize with the QUANT-NET program (https://quantnet.lbl.gov
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method based on Skyline software or equivalent is also preferred. If selected for this position, you will immediately be immersed into a dynamic research environment with multiple high-end Orbitrap and
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or II Posting Number req26424 Department Epidemiology and Biostatistics Department Website Link https://publichealth.arizona.edu/departments/epidemiology-biostatistics Location Tucson Campus Address
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
writing (manuscripts) and speaking (seminars, presentations) to both specialized and broad audiences. Data analysis and statistics: Proficiency with statistical software (e.g., GraphPad Prism) and strong
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to have experience in several of the following areas: data processing, statistical analyses, R software, regression models, process-based models such as DSSAT or APSIM, Bayesian statistical analysis