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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
, including proficiency in proving asymptotic properties. - Ability to implement, test, and document statistical methods in R. - Ability to analyze real-world datasets. - Ability to write and publish scientific
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ability to code independently in R, Python, or Matlab. Demonstrated ability to coordinate a complex research project. Demonstrated ability to supervise exercise interventions. Additional Information
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skills (e.g., R, MATLAB, Python) Neuroimaging (EEG or fNIRS) experience Essential Duties and Responsibilities Duties & Responsibilities Research and Innovation: Coordinate research projects, including
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to investigate the underlying DNA damage response mechanisms in cancers. One area of active research is to investigate mechanisms of sensing and resolving R-loops in cancers to provide molecular insight
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Extracellular Vesicles. 2024 Aug 13(8):e12482. PMID: 39105261. Time-resolved live-cell spectroscopy reveals EphA2 multimeric assembly. Shi X, Lingerak R, Herting CJ, Ge Y, Kim S, Toth P, Wang W, Brown BP, Meiler
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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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. Experience in cancer genomics, microbiome, and metabolomics analysis ideal. Experience in scRNAseq or long reads data analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus
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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