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Field
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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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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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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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, 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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, 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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the ability to train and manage student researchers and technicians. Preferred Qualifications Preferred experience: in vivo imaging, ex vivo electrophysiology, rodent behavior, Python/R/Matlab coding
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with molecular/population/quantitative genetics, as evidenced by application materials and/or publications. Experience with bioinformatics (such as coding or scripting in R or Python) as evidenced by
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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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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