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in R or Python. Experience in applied economic analysis, with preference given to those with experience developing and using structural economic models. Experience with U.S. commodity price analysis
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for phytoplankton in coastal ecosystems. Proficiency in R, Python, and code documentation/metadata creation. Experience with high-performance computing. Experience with time series and/or spatial analysis, and
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. Demonstrated fluency in R, Python, or Stata programming languages and documentation (through prior research) of strong quantitative skills, as evidenced by application material. Ability to work both
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experience writing custom analysis software (MATLAB, Python, R). Experience publishing original research in leading journals related to biomechanics, biomedical imaging, musculoskeletal health and function
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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bonds: electroreduction of nitrate, nitrite & R-NO2; organic electrosynthesis; co-reduction of NOx & CO2. The position responsibilities are given in the Job Duties section, below. Dr. Tengfei Li obtained
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values. Application Materials Required: Further Info: https://medicine.duke.edu/divisions/gastroenterology/education-and-training/gi-r Division of Gastroenterology DUMC Box 3913 Durham NC 27710
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data analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills
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candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning
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using software and programming languages such as R, Python, Google Earth Engine, etc. Demonstrated ability in integrating ecological theory with ecosystem ecology and remote sensing to improve predictions