Funding Opportunity RFA-CA-19-057 from the NIH Guide for Grants and Contracts. The purpose of the NCI Predoctoral to Postdoctoral Fellow Transition Award (F99/K00) is to encourage and retain outstanding graduate students recognized by their institutions for their high potential and strong interest in pursuing careers as independent cancer researchers. The award will facilitate the transition of talented graduate students into successful cancer research postdoctoral appointments, and provide opportunities for career development activities relevant to their long-term career goals of becoming independent cancer researchers. This Funding Opportunity Announcement (FOA) does not allow applicants to propose to lead an independent clinical trial, but does allow applicants to propose research experience in a clinical trial led by a sponsor or co-sponsor.
Funding Opportunity PAR-19-314 from the NIH Guide for Grants and Contracts. The National Institute on Aging invites the submission of investigator-initiated program project (P01) applications. The applications should address scientific areas relevant to the NIA mission. Each application submitted to this FOA must include at least three related research projects that share a common central theme, focus, and/overall objective and an administrative core to lead the project.
Funding Opportunity RFA-AA-20-001 from the NIH Guide for Grants and Contracts. The National Institute on Alcohol Abuse and Alcoholism (NIAAA) supports a broad-based Alcohol Research Centers program to foster and conduct interdisciplinary, collaborative research on alcoholism, alcohol use disorder and the impact of alcohol on health and disease. The NIAAA Centers Program provides leadership in research, and research methodology development on a wide variety of topics relevant to the Institutes mission. These topics include, but are not limited to, investigations into the nature, etiology, genetics, diagnosis, treatment, and prevention of alcohol use disorder, alcohol-related end organ diseases and their biomedical, psychosocial, and economic consequences across the lifespan. Centers are also major contributors to the development of new research methods, technologies, and approaches that sustain innovative goal-directed research.
Funding Opportunity RFA-AA-20-002 from the NIH Guide for Grants and Contracts. The National Institute on Alcohol Abuse and Alcoholism (NIAAA) supports a broad-based Alcohol Research Centers program to foster and conduct interdisciplinary, collaborative research on alcohol use disorder and the impact of alcohol on health and disease. The NIAAA Centers Program provides leadership in research, research methodology development and information dissemination on a wide variety of topics relevant to the Institutes mission. These topics include, but are not limited to, investigations into the nature, etiology, genetics, diagnosis, treatment, and prevention of alcohol use disorder, alcohol-related end organ diseases and their biomedical, psychosocial, and economic consequences across the lifespan. Where applicable and of significant health concern, comorbidity can be included. Centers are also major contributors to the development of new research methods, technologies, and approaches that sustain innovative goal-directed research.
Funding Opportunity RFA-DA-20-006 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology.
Funding Opportunity RFA-DA-20-007 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology.
