Research

No Applicants  //  Limit: 1 // Tickets Available: 1 

These grants fund basic science, translational and/or clinical state of the art pediatric cancer research initiatives. These grants fund work that is the basis for childhood cancer research, helping to move science in the direction of improved treatments and eventually finding a cure. They are designed to move hypothesis-driven research into the clinic providing support for important preclinical projects that are necessary to move a study from the pre-clinical arena into a clinical trial. Applicants must be a PhD (with a least two years as a junior faculty or assistant professor) and/or MD

No Applicants  // Limit: 1 // Tickets Available: 1 

An institution may submit only one Partner Hub (and related Projects) proposal or one Community Engagement Resource Center proposal. There are two (2) funding opportunities through this unique award mechanism; an individual may apply for only one of these opportunities:

1. Health Equity Research Network (HERN) on Community-Driven Research Approaches – Partner Hub
   Required pre-proposals due by Tuesday, March 26, 2024
   The key outcome of this HERN is the establishment of new models for community-driven research that can be scaled and used as a foundation for shifting norms, paradigms and practices within all domains of health research. Each Partner Hub must have two research projects and be represented by a community-based organization and an academic institution. The collaborations between and among the Partner Hubs build momentum around both systems change and knowledge of a particular issue, making it an ideal mechanism to meet the interrelated objectives.  
    
2. Health Equity Research Network on Community-Driven Research Approaches – Community Engagement Resource Center
   Required pre-proposals due by Thursday, March 28, 2024
   The Community Engagement Resource Center (CERC) will, under leadership of the Director, incorporate a multidisciplinary approach to provide capacity building, training, evaluation, and the management of a Community of Practice for the full Network. The CERC will facilitate engagement across the Partner Hubs and service as a coordinating center, facilitating capacity building, study optimization, communication, evaluation, and a Community of Practice. 

This funding mechanism will establish a collaborative, multi-center network with a specific focus on innovative methodological approaches for community-driven research and developing new scalable models for doing research differently, with greater shared authority with CBOs. The Network will create, implement, and make available to the broader scientific community a body of evidence- driven approaches that will support academic and community-based partners in working as equal partners to conduct research that meets the needs of the local community.  Specific deliverables will include a “playbook” of best practices for community-driven research and a compendium of published materials and key outcomes.  In addition, through opportunities provided to the program the training of trainees, this mechanism will help to develop the next generation of researchers and CBO staff who are experienced in working collaboratively to promote the health and well-being of all individuals in their communities.

No Applicants // Limit: 2 // Tickets Available: 2 

An applicant/institution may submit no more than two (2) applications in response to this announcement.

The U.S. Nuclear Regulatory Commission (NRC) is an independent agency, established by the Atomic Energy Act of 1954, as amended, tasked with licensing, and regulating the Nation’s civilian use of byproduct, source, and special nuclear material to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment.

The program provides funding to support research and development (R&D) for nuclear science, engineering, technology, and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. University R&D activities provide an opportunity to complement current, ongoing NRC-led research.

More specifically, the program shall be used to provide financial assistance for R&D projects relevant to the programmatic mission of the NRC referenced above, with an emphasis on providing financial assistance with respect to research, development, demonstration, and commercial application of new and advanced nuclear technologies. New this year, nontechnical research will be considered under this announcement (for example, projects that would foster the development of innovative community engagement strategies, including incorporation of principles of equity and environmental justice).

Award of these grants is contingent upon the availability of funds. The estimated budget for this program is $6,000,000.00. The NRC anticipates that there maybe up to twelve (12) grants awarded as a result of this NOFO. The number of awards depends on the number, quality, duration, and costs of the applications received.

This is a three (3)-year program. Research and development funds may be requested up to $500,000.00 total costs (direct costs and facilities and administrative costs) for the project period.

 Limit: 15* // Tickets Available: 10

PO Confirmed DOE will accept 15 applications, 3 for each of the 5 research areas.

 

L. Xuan ( Computer science) - Research Area 2: AI Innovations for Scientific Knowledge Synthesis and Software Development
M. Chertkov (Pharmacy) - Research area 3: AI Innovations for Computational Decision Support of Complex Systems. 
R. Tandon (Electrical & Computer Engineering) // Subaward Lawrence Berkeley National Lab - Research Area 4: Federated and privacy-preserving for foundation and other AI models for science.
S. Salehi (Electrical and Computer Engineering) - Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures. 
M. Krunz (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.
T. Adegbija (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of: 

• Foundation models for computational science;
• Automated scientific workflows and laboratories;
• Scientific programming and scientific-knowledge-management systems;
• Federated and privacy-preserving training for foundation and other AI models for science; and
• Energy-efficient AI algorithms and hardware for science.

No Applicants // Limit: one postdoctoral applicant per lab

The Predoctoral Fellowship in Drug Discovery Targets and Pathways provides support for promising students in advanced stages of training and thesis research in drug discovery research.

Eligibility: 

• Applicants will have completed most of their pre-thesis requirements and be PhD candidates. 
• Applicants should expect to complete their PhD requirements in two years or less from the time funding begins. 
• Applicants enrolled in MD/PhD programs should not be engaged in required clinical coursework or clerkships while the fellowship is active. 

*Due to the competitive nature of this funding program, the internal competition is run based on the anticipated May 15, 2024 LOI deadline.

No Applicants   // Limit: one postdoctoral applicant per lab

The PhRMA Foundation seeks to fund novel early-stage, exploratory drug discovery research with the potential for translation to humans, including biological validation of potential drug targets, signaling pathways, or mechanisms of disease. 

Eligibility:

• Applicants must hold a PhD, PharmD, MD, before funding can begin.
• Applicants must be within their first five years of postdoctoral study at the time of award activation.

*Due to the competitive nature of this funding program, the internal competition is run based on the anticipated May 15, 2024 LOI deadline.

No Applicants  // Limit: one postdoctoral applicant per lab

The Predoctoral Fellowship in Drug Delivery provides support for promising students in advanced stages of training and thesis research in drug delivery research, including basic pharmaceutics, biopharmaceutics, pharmaceutical technology, pharmaceutical biotechnology, or biomedical engineering.

Eligibility: 

• Applicants will have completed most of their pre-thesis requirements and be PhD candidates. 
• Applicants should expect to complete their PhD requirements in two years or less from the time funding begins. 
• Applicants enrolled in MD/PhD programs should not be engaged in required clinical coursework or clerkships while the fellowship is active. 

*Due to the competitive nature of this funding program, the internal competition is run based on the anticipated May 15, 2024 LOI deadline.

No Applicants // Limit: one postdoctoral applicant per lab

The Postdoctoral Fellowship in Drug Delivery supports individuals engaged in a multidisciplinary, collaborative research training program that will extend their credentials in drug delivery research, including basic pharmaceutics, biopharmaceutics, pharmaceutical technology, pharmaceutical biotechnology, or biomedical engineering.

Eligibility:

• Applicants must hold a PhD, PharmD, MD, before funding can begin.
• Applicants must be within their first five years of postdoctoral study at the time of award activation.

*Due to the competitive nature of this funding program, the internal competition is run based on the anticipated May 15, 2024 LOI deadline.

Limit: 3 // Tickets Available: 2

N. Rengaswamy (Electrical and Computer Engineering)

The DOE SC program in Advanced Scientific Computing Research (ASCR) announces its interest in receiving applications that advance the field of quantum computing by developing enabling end-to-end software infrastructures. This FOA solicits applications from large cross- disciplinary teams that will advance computer science toward a software stack that is ready to leverage multiple quantum technologies, or will develop mathematical foundations, algorithms, and software tools toward quantum utility [1] demonstration for applications within the DOE mission.

Research proposed in response to this FOA must primarily focus on addressing one of the two topics described below:

Topic 1 – Modular Software Stack: The diversity of quantum computing architectures and hardware technologies is expected to persist into the foreseeable future; this is an important consideration that guides the advancement of computer science sought in this topic. The development of an integrated computational ecosystem requires a general-purpose quantum software stack that is adaptable to, and takes advantage of, multiple kinds of quantum hardware. We seek basic research in computer science and applied mathematics that:

• Addresses practical and fundamental bottlenecks that hinder modularity and potential synergy among selected hardware technologies;
• Pursues general approaches to integration that may remain relevant for future technologies;
• Devises ways to embed quantum processors in parallel and distributed computing models; and
• Integrates error management across the software stack.

Topic 2 – Quantum Utility: This topic aims to advance the research towards achievement and demonstration of quantum utility [1] by developing new algorithms and fine-tuning all levels of the software stack for a selected portfolio of promising problems within the ASCR mission.

Applications should:

• Choose generalizable application-inspired target problems;
• Develop algorithms for optimized math kernels and math primitives for selected current (NISQ) and future quantum systems that significantly advance state-of-the-art performance for the selected target problems;
• Adapt, if needed, any level of the software stack for the specific target problems; and
• Estimate quantum resources by employing important complementary metrics, including energy-to-solution.

Verification protocols and tools are important for both Topic 1 and Topic 2 and should be discussed in the application.Applicants must choose and specify Topic 1 or Topic 2 as the focus of their application. In the choice of Topic 1 or 2, proposed research is encouraged to consider multiple metrics, such as qubit count, gate fidelity, and qubit connectivity.

The ceiling and floor specified below are for total costs, both direct and indirect costs.

Ceiling

$3,000,000 per year

Applications requesting more than this amount of support may be declined without further review.

Floor

$250,000 per year

Applications requesting less than this amount of support may be declined without further review.

No Applicants // Limit: 1 // Tickets Available: 1 

The purpose of this notice of funding opportunity (NOFO) is to support enhanced surveillance and applied research for influenza virus or other respiratory infections in humans and animals in China. This support aims to better define the global risk and to build the evidence for prevention and control of novel and seasonal avian and non-avian seasonal influenza viruses and other respiratory diseases in China. The scope of research performed will include, but will not be limited to, activities such as estimating the burden and cost of illness for groups at high risk for severe disease; monitoring vaccine uptake and efficacy; promoting vaccine programs for groups at high risk for severe influenza complications; and conducting surveillance for detection and control of novel and seasonal influenza viruses and other respiratory pathogens. Research activities for the prevention and control of novel and seasonal influenza viruses and other respiratory pathogens and pandemic preparedness activities will be aimed at preventing and controlling the spread and transmission within China and potentially to other countries, including the United States. Continued monitoring, detection, and reporting of these influenza viruses and other respiratory pathogens in China will advance global health efforts. These activities will assist to inform global health infection control policies and prevent and control seasonal epidemic and pandemic influenza in countries around the world. This NOFO provides an opportunity to conduct research in these important areas.