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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
- Proficiency in programming (e.g., Python, R, or similar). - Experience with large-scale omics data analysis. - Excellent communication skills. Preferred Qualifications, Competencies, and Experience - Solid
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1703 E. Mabel St., Tucson, AZ 85721 USA Position Highlights The R. Ken Coit College of Pharmacy at the University of Arizona is inviting qualified applications to apply for the open positions
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, or equivalent) Demonstrated experience with data analyses using Stata, SPSS, or R Effective oral and written communication skills Prior relevant publication in pediatrics research (minimum in press or under
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Foundation and is led by Dr. Deborah Gross, the Leonard and Helen R. Stulman Endowed Chair in Mental Health and Psychiatric Nursing. It provides a richly mentored experience to scholars committed
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publications), and or other textual data Knowledge of, or strong interest in AI, digital technologies, and their applications Proficiency in programming languages (e.g., Python, R) and data analysis Ability
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procedures used in spatial data analysis and vegetation dynamics modeling is required. The candidate should have extensive practical experience in the use of R and GIS. Demonstrated skills of Bayesian modeling
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software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The appointee will join an internationally active team of researchers in developing studies in the area of digital phenotyping in early
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or Perl, along with experience using shell environments (e.g., Bash) and statistical programming in R, is required. Entirely remote work arrangements (including for applicants residing outside of Arkansas
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data science tools, especially Python or R Proven ability to work collaboratively in interdisciplinary and international research settings Strong skills in scientific project management Excellent written
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems