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Field
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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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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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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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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours 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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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
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge for omic-scale research questions Scientific publishing experience in renowned, subject-relevant peer-reviewed