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cannot be used for this initiative. All instructions in the SF424 (R&R) Application Guide and PA-18-591 must be followed, with the following additions: Table of IC-Specific Information and Requirements
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management and statistical analysis (e.g., R or similar software) Demonstrated ability to prepare and publish peer-reviewed manuscripts Strong organizational and collaboration skills PREFERRED QUALIFICATIONS
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expertise in respiratory physiology and pertinent cellular and/or molecular mechanisms. Technical expertise in computer programming languages including R, Phython, and LabView are welcomed. Demonstrated
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academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets: Colleges” list and is
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Recruitment Type Open Position Details General Statement PhD in a relevant field, experience with data science, remote sensing, modeling, and strong capabilities in R and/or Python are required. Additionally
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methods to compare the new designs and techniques with existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical
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combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets
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using large data sets (e.g. R, Python, Matlab, ArcGIS, etc.) Knowledge of Eastern Oyster and relevant literature with trends in the commercial exploitation and ecological function of this species
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in population genetics, statistical genetics, or a closely related area. Proficiency in statistical and bioinformatics tools and programming languages (e.g., Hail, R, Python). Experience with
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University of Arizona Health Sciences Address 1703 E. Mabel Street, Tucson, AZ 85721 USA Position Highlights The R. Ken Coit College of Pharmacy invites qualified applicants to apply for the positions