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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
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://www.pharmacy.arizona.edu/ Location 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
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above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here . Faculty of Science
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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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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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and/or PhD students. This role develops skills for academic faculty positions or industry R&D leadership. What we offer Chalmers provides a dynamic work environment in Gothenburg —Sweden’s vibrant
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experience: Essential criteria PhD in neuroscience, neuroimaging or related discipline. Experience and knowledge of performing functional MRI experiments Proficiency in the use of statistical packages (e.g. R
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to program fluently in at least one common scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in sediment transport modeling. Preferred Qualifications, Competencies
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. Exposure to conducting evidence synthesis and systematic reviews. Experience and working knowledge of at least one statistical software (E.g. SAS, STATA, R, and SPSS). Preferred Qualifications Work
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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets