42 coding "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Texas A&M University
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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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. Responsibilities Research Assist with data management, curation, and organization for ongoing research projects. Conduct data cleaning, coding, and quality assurance for secondary datasets. Assist with quantitative
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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
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research projects. Prepares research data (e.g., coding and cleaning) for analysis. Analyzes research data, performs quantitative analysis, and summarizes findings. Writes and contributes to research papers
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parallel finite element and numerical simulation codes. Design, run, and document computational experiments. Present research results at conferences and collaborative meetings. Contribute to the scientific
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, Skills, and Abilities Proficiency with computers and relevant software. Advanced coding skills in at least one or more of the following: Python, SAS, STATA, Matlab, or related statistical packages Strong