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Field
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. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
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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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remaining. • Self-motivated and able to work independently and collaboratively • Strong communication skills • Proficiency in R, Python, or MATLAB • Familiarity with spatiotemporal analytical approaches and
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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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technologies (e.g., spatial transcriptomics, CODEX, Akoya PhenoCycler). Proficiency in single-cell RNA sequencing, high-dimensional data analysis, bioinformatics tools, and programming languages (R, Python
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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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, Louisiana, which have made the first confirmed detection of gravitational waves. A vigorous LIGO Laboratory R&D program supports the astrophysical data analysis of current and future gravitational-wave
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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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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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, 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