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- Process, analyze, and interpret gravitational‑wave and related astrophysical data under faculty and postdoc guidance.
- Implement, execute, and maintain computational data‑analysis workflows.
- Perform quantitative and statistical analyses, verifying accuracy and consistency of results.
- Generate figures, tables, and summaries to communicate findings.
- Review scientific literature and apply established methods to research tasks.
- Maintain organized code, data products, analysis records, and documentation for reproducibility.
- Participate in research meetings, presenting updates on assigned activities.
- Troubleshoot and document computational pipelines and software tools.
- Assist with other research‑related duties supporting the laboratory’s scientific objectives.
- Bachelor’s degree in physics, astronomy, astrophysics, mathematics, computer science, engineering, data science, or a related quantitative field.
- Experience with scientific computing and statistical data analysis, preferably using Python.
- Familiarity with large scientific datasets and reproducible workflow practices.
- Knowledge of gravitational‑wave data analysis methods or computational astrophysics is a plus.
- Ability to work independently and collaborate effectively with faculty, postdocs, and team members.
- Strong analytical, problem‑solving, and organizational skills.
- Excellent written and verbal communication abilities.
- Proficiency with version control systems (e.g., Git) and software development best practices.
- Attention to detail and ability to evaluate data for accuracy.
- Ability to manage time and meet project deadlines.