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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
contribute to additional proposal efforts, thereby strengthening UNC Charlotte’s ability to attract external funding. The employee’s principal research responsibilities will be coding in Python and other
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to the IU retirement benefit package. We are interested in exploring the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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Prof. Fredros Okumu (University of Glasgow/Ifakara Health Institute) to develop and test new methods for trial design and analysis. Developing statistical models and code to run the proposed methods
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quality reports and documents that consolidate research findings Job Requirements: PhD degree in optics or related field Familiarity with national codes and standards Good written and oral
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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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such as quasi-normal modes. You will lead the development of modelling codes and have primary responsibility for at least one project within the broader research program. Additionally you will contribute
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three references and their contact information A link to GitHub repos for relevant code (optional) Starting salaries will vary depending upon the qualifications and experience of the selected candidate
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, prognosis, and predictive responses to chemotherapies and targeted drugs. 2. Study the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs