Title:
NCI Institutional Pre-Doctoral Research Training Partnership Award (TU2)

Contact:

Lester S. Gorelic, Ph.D.
Cancer Training Branch
Office of Centers, Training and Resources
ODDES, NCI
Telephone: (301) 496-8580
E-mail: lg2h@nih.gov

Objective of Project:

The purpose of this RFA is to encourage the development of new pre-doctoral training programs that are partnerships between extramural institutions and specific components of the NCI Intramural Research Program (IRP). The specific components in the Division of Cancer Epidemiology and Genetics (DCEG) and the Center for Cancer Research (CCR) selected for these partnerships represent unique research strengths of the NCI and the research focus of these components are nationally recognized as areas of high priority for training.
Participation in this initiative is anticipated to expand research training opportunities for students at the respective extramural institutions, provide extramural institutions greater access for training and research to unique aspects of the NCI IRP; and to result in the establishment of important new scientific collaborations between extramural and intramural scientists.

Description of Project:

This RFA will make use of the TU2 cooperative agreement funding mechanism. The TU2 will operate according to the policies of National Research Service (NRSA) awards and will support didactic, research training, travel and other program expenses while predoctoral candidates are at the extramural institution (one to three years). Cancer Research Training Awards or CRTAs will be used to support predoctoral candidates for their research training while at the NCI (2 to 4 years). The total project period for applications submitted in response to this RFA may not exceed five years; and total support (NRSA plus CRTA) for an individual trainee may not exceed five years. Applications will be accepted by the NCI extramural Cancer Training Branch only in the following areas of research training: DCEG: Environmental, occupational, nutritional, radiation, viral, genetic and molecular epidemiology, and in biostatistics and methodological research; CCR: chemistry, bioinformatics, computational biology.