NIH Training Grants

Institutional training grants from the National Institutes of Health (NIH) support collaborative training and education in a variety of scientific areas. T32 Training Grant programs funded by the NIH enable graduate students and postdoctoral researchers to receive specialized training in specific areas from our world-class faculty.

Training grants led by UA Department of Physiology faculty:

Interdisciplinary Training in Cardiovascular Research

Co-PIs: Carol Gregorio, PhD, and John Konhilas, PhD

Trainees of the CVR Program develop a breadth and depth of training that integrates a mechanistic understanding with tools to better translate molecular, cellular, and physiological insights of the cardiovascular system to human health and disease. This goal of the CVR Program is achieved by an inclusive environment with diversity in training faculty and trainees who participate in coursework and collaborative and multidisciplinary research that collectively exposes trainees to multiple career options in the biomedical sciences and facilitate development of skills necessary for success in these careers – to include not only research skills but also verbal and written communication, mentorship, and networking skills. The grant has 7 pre-doctoral positions and 4 postdoctoral positions.

Interdisciplinary Training in Cardiovascular Research Website

Computational and Mathematical Modeling of Biomedical Systems

PI: Timothy Secomb, PhD

Administered by the Program in Applied Mathematics, this grant provides fellowships for graduate students working at the interface of mathematics and the biological and biomedical sciences. Trainees join a campus-wide community of faculty and students carrying out research in quantitative biology. The goal of the program is to prepare scientists for research careers in the computational analysis and mathematical modeling of medically significant biological systems through interdisciplinary graduate training. Progress in biomedical research increasingly requires mathematical and computational approaches. Scientists experienced at working at the interface of biology, mathematics and computation are needed. The University of Arizona offers unique opportunities for graduate training in this exciting interdisciplinary area.

Computational & Mathematical Modeling of Biomedical Systems Website