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genetics and cell biology. Preferred Qualifications: • Experience with bioinformatics or R is strongly preferred. • Previous experience with ‘omics bench research (transcriptomics, genomics, proteomics
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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working
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, the College of Engineering completed a new ~100,000 sq. ft. engineering building in 2022. Contact Information Search Chair, Dr. Victor R. Vasquez Professor and Chair Chemical and Materials Engineering
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innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets: Colleges” list and is among the top 30
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reputation. Experience working with sequence data, programming in python or similar language (e.g. R), and a strong interest in infectious disease epidemiology are essential for the post. For appointment
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. Experience and training in longitudinal data analyses, particularly multi-level modeling and structural equation modeling. Proficiency in statistical analysis software (e.g., SPSS, R, MPlus, SAS). 2
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development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub
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history in peer-reviewed journals to demonstrate research success. Preferred qualifications A strong background in immunology Experience with R and/or the analysis of sequencing data sets Interested
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experimental procedures to investigate underlying molecular mechanisms. strong quantitative background, ideally with SAS, R, and genomics analyses programming skills familiarity with common bioinformatics
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, urban or trade models. Proficiency in Stata. Knowledge of R, Matlab and/or Python. Prior experience in working with spatial data. Documented research track record at international level, including