Eman Toraih, School of Medicine
This project provides an exciting opportunity for individuals passionate about advancing research in healthcare, AI, data science, biostatistics, clinical disparities, and genetics. Participants will be immersed in a dynamic research environment, actively contributing to data analysis, coding, literature review, and interdisciplinary collaboration to translate scientific discoveries into impactful clinical applications. The work will encompass developing machine learning models, conducting statistical analyses and meta-analyses, preparing presentations, and supporting research submissions. This role is ideal for individuals looking to broaden their expertise across diverse research methodologies and make meaningful contributions to translational science.
| Faculty Supervisor | Eman Toraih |
| Project Start Date | 11/01/2024 |
| Number of Spots Available | 10 |
| Project Type | Translational |
| Location | Remote |
| Type of Research | Literature Review, Data Analysis/Write-Up, Other |
| Project Duration | Short-term (weeks to months) |
| Supervisor | Faculty |
| Project Expertise | https://pubmed.ncbi.nlm.nih.gov/?term=eman+toraih&sort=date |
No prior experience required.
Approximately 5–10 hours per week. Commitment may vary based on project phase and specific tasks.
Please submit the following with your application:
* Updated CV or Resume
* Cover letter including interested research area
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