NIH T32 Cardiovascular Digital Health Research Training Program Training Program, UMass Chan Meidcal School
Funding Opportunity posted by Maureen Titus
Description:
Cardiovascular Digital Health Research Training Program
The CardiOvascular Digital hEalth Research (CODER) NIH T32 Training
Program at UMass Chan Medical School is currently accepting applications.
The program will provide a dynamic research training infrastructure
for postdoctoral fellows who wish to be independent investigators and team scientists
in digital health research. Participants will develop and implement novel
solutions directed towards improving cardiovascular health in an equitable
manner. The CODER program will provide stipend and other financial support for
up to two years with a possible third year through a competitive
extension.
Eligibility requirements
- U.S.
citizen, noncitizen national of the United States, or permanent resident
- All
trainees are required to pursue their research training full time,
normally defined as 40 hours per week
- Trainees
must have received a PhD, MD, DDS, or comparable doctoral degree from
an accredited domestic or foreign institution by the start of training.
Comparable doctoral degrees include, but are not limited to, the
following: DMD, DC, DO, DVM., OD, DPM, ScD, EngD, DrPH, DNSc, DPT,
PharmD, ND (Doctor of Naturopathy), DSW, PsyD, as well as a doctoral
degree in nursing research.
Financial support
Stipend support for a Kirschstein-NRSA award Postdoctoral
Trainee, childcare costs, tuition and fees and travel.
Program highlights
- Thematic
Cores: Machine Learning and Artificial Intelligence, Informatics and Data
Science, Mobile Health and Point of Care Testing
- Team
based mentoring to provide a supportive, transdisciplinary experience
- Required
and elective didactic coursework tailored to the trainees’ interest and
needs in either data science or patient oriented CODER projects
(opportunity for Master of Science in Clinical Investigation, MSCI)
- Professional
and career development opportunities tailored to the trainee
Duration of support
Support is up to two years with a possible third year
through a competitive extension.
Closing Date
Apr 18, 2025