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Field
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skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus. Experience working in a Linux environment preferred. Experience working in high-performance computing environments
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. Fluent in statistical code in either R, Python, or Matlab. English language (B2 or higher). At least one first-author publication (pre-prints are eligible). Ability to work collaboratively as part of a
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, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred Qualifications: Experience with analyzing multi-wave longitudinal and intensive
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quantitative methods, including R and GIS. • Knowledge of terrestrial ecosystems and disturbance regimes. Preferred Qualifications • Experience with process-based models. • Knowledge of shrub or chaparral
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a result of its 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
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foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning, deep learning, HPC, Docker/Singularity
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for single-cell. Biological handling experience in musculoskeletal disease (such as osteoarthritis) or cancer. Additional experience in materials characterization is of interest. Familiarity with R or similar
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upon satisfactory performance and funding availability. General information about UD The University of Delaware is a tier-1 research university and ranks among the top 100 universities in federal R&D