Duke offers educational and training opportunities for all levels of students. Explore opportunities for undergraduate students, graduate students and postdoctoral fellows, fellowships, and study abroad opportunities.
Opportunities for All
Genome Academy is a series of stand-alone workshops in genome topics offered to Duke faculty, postdocs, graduate students and staff at little to no fee. Sabbatical scholars and other collaborating visitors may request registration and will be accommodated on a space-available basis.
The Precision Health Academy is a short virtual seminar series geared toward non-geneticist providers. The goal of these seminars is to raise awareness of the genetic services at Duke and the processes in place for send-outs. All seminars are free of charge to attend and open to faculty, staff, and trainees.
Undergraduate Opportunities
The Duke Supporting Undergraduate Research Experiences (SURE) Program is 10-week summer experiences in cardiovascular research funded by the American Hearth Association. The program is designed for under-represented college students entering their sophomore, junior, or senior year who are exploring careers in Science, Technology, Engineering, Mathematics, and Medicine (STEMM).
This program provides Duke undergraduate students an opportunity to participate in a faculty-mentored research project in applied genomics and precision medicine.
Graduate Opportunities
The School of Medicine's Office of Biomedical Graduate Education (OBGE) offers 17 different graduate programs. The OBGE website lists all of the programs and descriptions of each. Applications to all biomedical Ph.D. programs (except the Medical Scientist Training Program) are submitted through the Graduate School at Duke.
The Pratt School of Engineering's Biomedical Engineering department offers a Ph.D. track and Master's degree tracks. The BME program is ranked among the best biomedical engineering programs in the world.
Fellowships
The Duke AI Health Data Science Fellowship Program is a 2-year training program in data science with direct application for healthcare. Designed for early-career data scientists with strong backgrounds in quantitative discipline, the program is part of a multidisciplinary, campus-spanning initiative that applies machine learning and quantitative sciences to rich sources of healthcare and administrative data, using the insights gained to improve healthcare delivery, quality of care, and the health of individuals and communities.