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Field
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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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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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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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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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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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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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neuroscience. Proficiency in programming languages commonly used in computational neuroscience (e.g., Python, MATLAB, R). Physical Demands and Working Conditions Physical Activities Working Conditions Additional
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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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. 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