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biological questions. Opportunities to Contribute Conduct research in the area of statistical modeling for single-cell multi-omic data. Perform clustering, differential expression analysis, predictive modeling
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weekend and/or after normal hours. May travel as required in-state and out-of-state. This position is security sensitive and must sat This position requires compliance with state and federal laws/codes and
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federal laws/codes and Texas A&M University System/TAMU policies, regulations, rules and procedures. All tasks and job responsibilities must be performed safely without injury to self or others in
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generator code, C++, Python. Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail. Salary: Compensation will be commensurate based on the selected candidate's
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-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package for widespread use of the methods. May
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coding and modeling dynamic river biogeochemistry change. Salary: Compensation will be commensurate based on the selected candidate's education and experience. Please note: This position is grant funded
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established file-naming and version-control procedures. Conducts assigned qualitative, quantitative, and mixed methods analyses of multimodal and multi-source data; prepares data, develops and applies coding
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) and presentations of data and analyses Database design for clinical research and cohort studies Programming/coding proficiency in statistical software Savvy importing/exporting data between various
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and genomic data from distinct studies. Maintaining accurate code repositories for quality control and analytical algorithms Manages storage drives and maintains datasets. Required Education and
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normal cells and disease states. The position will work on following projects: Role of Intronic polyadenylation (IPA) isoforms across multiple cancer types: We have discovered that protein-coding genes can