Completed

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UArizona may submit one application per lab may apply for this award. 

The PhRMA Foundation Postdoctoral Fellowship in Drug Delivery supports individuals engaged in a multidisciplinary, collaborative research training program at an accredited U.S. university that will extend their credentials in drug delivery research, including basic pharmaceutics, biopharmaceutics, pharmaceutical technology, pharmaceutical biotechnology, or biomedical engineering.  Successful proposals in Drug Delivery emphasize the quantitative understanding of the principles, pathways, and/or mechanisms underlying improved or optimized: 

• formulation composition and delivery modalities/technologies that enable more favorable transport (absorption, targeting, elimination) of drugs; and/or 
• drug dosage forms that can be manufactured to achieve higher quality, lower cost, and greater stability or flexibility. 

Today’s drugs include biologics, small molecules, and cell and gene therapy. Delivering increasingly complex drugs demands thorough understanding of technologies and formulation approaches. 
Research that focuses on findings that can be generalized to other systems will be prioritized. Testing the delivery of a single drug by one approach is less preferred. 

Eligibility

• Applicants (U.S. and non-U.S. citizens) must be based at a PhD and/or MS degree-granting accredited U.S. university. 
• Applicants have a firm commitment from a research supervisor or sponsor at their university.  
• Applicants must hold a PhD, PharmD, MD, or appropriate terminal research doctorate. If you do not hold one at the time of application submission, please state in your extended letter when you expect to receive it, as it must be received before funding can begin. Funding can begin as early as January 1, 2024, or as late as August 1, 2024.  
• Applicants must be within their first five years of postdoctoral study at the time of award activation. 
• Applicants who are applying for funds to support postdoctoral work in the laboratory where their graduate work was performed will be given lower preference. One of the objectives of this fellowship is to gain new skills, and therefore, an ideal candidate will be conducting their research in a new laboratory and not where their graduate work was performed. 
• The Foundation will not consider multiple applications for similar efforts on the same project. For instance, if a predoc, postdoc, and faculty member from the same lab are all submitting applications for proposed efforts on the same project, the efforts must be separate activities and not duplicative.  

1. H.J. Kim (Civil Engineering-Engineering Mechanics)
2. M. Tfail (Environmental Science) 
3. M. Chertkov (Applied Mathematics)

UA may submit three pre-proposals to this funding program.
 

Applications must focus on addressing basic research challenges motivated by the Energy Earthshots listed above. The scope of the Energy Earthshots are described below. This FOA is a collaborative effort across three SC research programs: Advanced Scientific Computing Research, Basic Energy Sciences, and Biological and Environmental Research. Program descriptions follow below. Multi-disciplinary applications are encouraged, addressing more than one SC research program. Additionally, the following common considerations apply to all Energy Earthshots:

Applicants should consider how innovative high-performance and scientific-computing techniques can contribute to advancing the goals of the proposed research. Applicants should also leverage the applications and software technologies developed by DOE’s Exascale Computing Project (ECP)10 to make use of computing at all scales. Applicants should also consider how to leverage data, software, models, and other information from recent and concurrent activities, including those funded by SC, other DOE departmental elements, and other agencies. SC resources include, but are not limited to, those with the Public Reusable Research (PuRe) Data designation11. Applicants are encouraged to consult the references posted on each Energy Earthshot’s webpage for information on other potentially-leverageable resources. 

R. Hossein ( Aerospace-Mechanical Engineering)

NIOSH organizes its research program under the framework of the National Occupational Research Agenda (NORA). NORA is a partnership program to stimulate innovative research and improved workplace practices. Unveiled in 1996, NORA entered its third decade (2016-2026) with an enhanced structure. It now consists of ten industry sectors based on major areas of the U.S. economy, and seven health and safety cross-sectors organized according to the major health and safety issues affecting the U.S. working population. The national agenda is developed and implemented through the NORA Sector and Cross-Sector Councils. Each council develops and maintains an Agenda for its sector or cross-sector. The collection of agendascomprises the agenda for the nation for improvements in occupational safety and health. The agenda also provides a vehicle for stakeholders to describe the most relevant safety and health issues, research gaps, and needs.

Protecting the health and safety of mine workers by preventing diseases, injuries, and fatalities is a NIOSH priority, along with making certain that workers are qualified, trained, and properly equipped. The NORA Mining Agenda was developed and implemented through NORA Sector Councils and is guidance for the nation as a whole, while the 2019-2023  Mining Program Strategic Plan is specific to NIOSH and its capabilities and resources. 
 

The NIOSH Mining Program has established three overarching strategic goals for this plan:

Strategic Goal 1: Reduce mine workers’ risk of occupational illness

Strategic Goal 2: Reduce mine workers’ risk of traumatic injuries and fatalities

Strategic Goal 3: Reduce the risk of mine disasters and improve post-disaster survivability of mine workers.

This is a collaborative grant and applicants should outline their expected interactions with NIOSH researchers and subject matter experts.

Objectives

The objective of this cooperative agreement is to address research initiatives in automation, robotics, and intelligent mining systems to improve workplace safety and health in U.S. mining operations. 

The impact of research conducted by recipients should focus on advances in assured autonomy, i.e., assuring autonomous mining equipment and robotics achieve improved workplace safety and health for mine workers while meeting efficiency and productivity goals.

Interactions with mining stakeholders have shown that the U.S. industry is lagging behind other parts of the world in the implementation of automation technologies due to a lack of guidance in implementing new technology, questions about technology readiness, a lack of guidance and tools for effectively dealing with the migration from human-operated equipment to autonomous equipment, and concerns about the potential unsafe interactions between autonomous equipment and workers. Impacts could include but are not limited to:

Applicants are encouraged to consider those aspects of their graduate degree program in mining and explosives engineering, including unique facilities, that could best support their proposed research related to automation, robotics, and intelligent mining systems.

Clearly state your proposed goals and objectives, and directly link these to the occupational health and safety burdens you are addressing.

Provide data to support your selection of the proposed work, such as morbidity or mortality rates and indicators of the size of the population at risk (including estimates of the target population’s potential risk of exposure to the hazard, frequency of exposure, or sociodemographic factors such as age, gender, and race/ethnicity). Similarly, provide qualitative data that describe exposures, the magnitude of the problem, and potential benefits and impacts of addressing the issue. Qualitative data may be necessary when the nature of the exposure or population at risk makes it difficult to collect large-scale, representative quantitative data.

1. • Advances in and implementation of human-centered design principles for automated equipment and the systems used to monitor or interact with them.
   • New methods, guidance, and best practices in change management, training/retraining workers, technology integration, and safety evaluation.
   • New methods and evaluation techniques for safe design that consider the entire mining operation as a system.
   • Advances and availability of enabling technologies for assured autonomy including sensors, data fusion and processing, artificial intelligence, and systems for improved machine and operator situational awareness.
   • Availability of new miner rescue and post-disaster surveillance technologies.

Y. Shirai (Family & Community Medicine)

UArizona may submit one proposal per cycle and may receive only one Lifelong Arts Engagement Grant per fiscal year.

Lifelong Arts Engagement Grants support projects that foster meaningful arts learning experiences for adult learners of any age and/or intergenerational projects in community settings.

Lifelong Arts Engagement Grants support projects that…

• focus on learners across the aging spectrum,
• occur in accessible community spaces, and
• center arts learning practices.

Such projects should also…

• provide opportunities for creative expression in safe and nurturing environments, and
• utilize the assets of the community being served.

Projects may take place in…

• arts venues,
• community or senior centers,
• residential facilities, and
• other settings that serve adult learners of any age and/or intergenerational projects.

Arts learning projects feature sequential, hands-on learning through the arts to develop artistic skills, processes and creativity. Artistic and/or cultural discipline(s) may include, but are not limited to dance, literary arts, media arts, music, theatre, traditional and folk arts, and visual arts. Arts learning projects include specific objectives, outcomes and methods of evaluation that are well defined and relevant for the learners involved.

Organizations can request $5,000 to $7,500.

There is no cash match required for this grant opportunity.

No applicants // Limit: 2 // Tickets Available: 2 

UArizona may submit no more than two (2) applications in response to this announcement.

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, non-technical 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).

The estimated budget for this program is $6,000,000.00 for a project period of three years. 

Areas of interest include, but are not limited to:

• Application of wireless communications, drones, robotics, and autonomous control in operations and maintenance activities;

• Digital engineering/analytics, advanced sensors, and digital instrumentation/controls at nuclear facilities;

• Evaluation of technical gaps and major uncertainties in assessing risk for operating, new and advanced reactors (e.g., modeling of complex dependencies, advanced calculation techniques, multi-unit and multi-moule risk, application of risk techniques to radiological consequence analysis, development of improved risk metrics);

• Human and organizational factors and human reliability analysis for advanced nuclear applications, (e.g., improved models for dependency, consideration of organizational factors, dynamic methods, and risk analysis).

• Characterization of fire hazards in new reactor designs (e.g., sodium) and post-fire safe shutdown capability;

• Characterization of natural hazards including but not limited to flooding, high winds, hurricanes, wildfires, climate change;

• Analysis models and methods for fuel and cladding performance;

• Advanced technology approaches (e.g., data and text analytics, data visualization techniques, and artificial intelligence) and applications (e.g., data mining, autonomous control) in nuclear power-related applications; Evaluation of the radiological releases and offsite consequences for fusion reactor accidents;

• Application of innovative and advanced technologies for decommissioning and remediation of radiologically contaminated sites;

• Evaluation of the technical gaps and uncertainties in licensing new veterinary and medical uses of byproduct materials;

• Analytical approaches that combine probabilistic risk assessment (PRA) risk quantification methods with reactor systems sensitivity or uncertainty analysis methods to quantify the risk significance of safety analysis errors or uncertainties; Performance-based technology-neutral safety assurance;

• Evaluation of technical gaps and major uncertainties in assessing risk for decommissioning and waste management; and

• Comparative analysis, consistencies, and harmonization in application of dosimetry and dose coefficients

D. Johnson (Study Abroad)

The Institute of International Education“IIE American Passport Project” to assist students, who are in their first year and eligible for Pell grants, obtain a U.S. passport, and to facilitate international experiences as part of their post-secondary education.

D.Diaz (Animal&Biomedical Sciences-Res)

The U.S. Department of State, Bureau of Democracy, Human Rights and Labor(DRL) announces an open competition for organizations to submit applications for projects that address the impact of climate change and environmental degradation on democracy and human rights in the Middle East and North Africa (MENA) region.

DRL seeks regional projects in the Middle East and North Africa that articulate the linkages between human rights and good governance with climate and the environment, and that prepare citizens to play a key role in mitigating the effects of climate change and environmental degradation. Responsive projects should be designed to achieve outcomes that may include:

• Civil society organizations (CSOs) and natural resource defenders (NRDs) meaningfully and safely contribute to national, regional, and global environmental policy development and reforms.
• Reform efforts that address environment and the challenges of climate change insecurity and include efforts to address governance, corruption, post-conflict recovery, and a just and equitable transition to a clean economy.
• Ensure the public has access to transparent and credible information on climate issues, including by supporting responsible media reporting, the role of independent media in climate coverage, and access to public records on environmental degradation and climate change.
• NRDs and CSOs are better able to safely coordinate and cooperate in their local, national, and regional-level advocacy for preserving natural resources and tackling climate change.

J. Van Haren (Biosphere 2)

Mid-scale RI-2 is an NSF-wide competitive program that addresses scientific demand for research infrastructure in the $20 million -$100 million cost range for implementation. Mid-scale RI-2 is intended to support visionary projects that are high-priority national needs as identified by research communities of the United States, rather than projects primarily serving regional, campus or local interests. Solving the most pressing scientific and societal problems of the day – such as those called out in National Academies reports and decadal surveys, identified through research community planning and prioritizing exercises or other emerging national priorities – using new technologies, techniques, and concepts is encouraged in this competition. The scientific justification should demonstrate how the proposed research infrastructure provides potentially transformative research capability or access relative to what is currently available to the general U.S. research community. Investigators whose preliminary proposals are for capabilities similar to those currently available to the U.S. research community are unlikely to be invited to submit full proposals. All proposals should show the project's value and benefit to the U.S. science community.

Proposals for research infrastructure that is part of a larger project must clearly state the impact of the proposed infrastructure on the project, whether and how any specific part(s) of the infrastructure would be identified with NSF, and the benefit to the U.S. research communities that NSF supports.

The Total Project Cost (TPC) submitted to NSF for implementation must be at least $20 million but less than $100 million. Mandatory cost analyses will be conducted on proposals considered for award and will need to demonstrate a high probability that the project can be completed in less than $100 million. Projects whose most likely risk-adjusted costs are found to exceed this threshold, as determined via the NSF cost analysis, will not be considered for funding from the Mid-scale RI-2 Program. NSF will utilize independent cost estimate reviews (in some cases performed by contractors or other government agencies) to inform the cost analysis.

PIs are reminded of the GAO cost escalation and uncertainly requirements as outlined in the RIG (Section 4.2.2.3). Besides the award duration, careful consideration should also be given to the 2-year cycle of the Mid-scale RI-2 Program, from solicitation publication to eventual award decision, and its potential impact on the anticipated total project cost. Thus, proposed budgets should carefully consider validity of quotes, market forces, escalation (including inflation), and other potential influencing factors that could push the risk-adjusted total project cost above the programmatic threshold.

If a PI finds, while developing the project budget, that the total project cost could reasonably exceed the upper limit of the Mid-scale RI-2 Program, they should consult with the cognizant Program Officer about other potential options.

NSF defines Research Infrastructure (RI) as any combination of facilities, equipment, instrumentation, or computational hardware or software, and the necessary human capital in support of the same. Major facilities and mid-scale projects are subsets of research infrastructure. The NSF Mid-scale RI-2 Program supports the implementation of unique and compelling RI projects at a national scale. Mid-scale RI-2 projects may include any combination of equipment, instrumentation, cyberinfrastructure, broadly used large-scale data sets, and the commissioning and/or personnel needed to successfully complete the project. Mid-scale RI-2 projects should fill a research community-defined scientific need or national research priority that enables current and next-generation U.S. researchers and a diverse STEM workforce to remain competitive in the global research environment. Mid-scale RI-2 investments are expected to demonstrate high potential to significantly advance the Nation's research capabilities. Mid-scale RI-2 projects will directly enable advances in any of the research domains supported by NSF, including STEM education research. Projects may also include upgrades to existing research infrastructure.

Mid-scale RI-2 is intended to support the implementation stage of a wide variety of RI projects. Mid-scale RI-2 therefore uses an inclusive definition of implementation, which can include traditional stand-alone construction or acquisition as well as a degree of final development for infrastructure and equipment projects. For example, it could include a spiral development step leading to the acquisition of a larger system for cyberinfrastructure or other shared community research capability.

A.Linares-Gaffer (Nutritional Sciences) 

The purpose of the Higher Education Multicultural Scholars Program (MSP), Assistance Listing 10.220, is to provide scholarships to support recruiting, engaging, retaining, mentoring, and training committed multicultural scholars, resulting in either baccalaureate degrees within the food and agricultural science disciplines or Doctor of Veterinary Medicine (D.V.M.) degrees. The goals and objectives of the scholarships are to encourage outstanding students from groups that are historically underrepresented and underserved to pursue and complete baccalaureate degrees in food and agricultural sciences, or achieve a D.V.M., that would lead to a diverse and highly skilled work force. This may or may not include the teaching and preservation of traditional ecological knowledge.

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Brain Research Foundation is inviting UArizona to nominate one senior faculty member to submit a Letter of Intent for the 2023 Scientific Innovations Award (SIA). The objective of the program is to support projects that may be too innovative and speculative for traditional funding sources but still have a high likelihood of producing important findings. It is expected that investigations supported by these grants will yield high impact findings and result in major grant applications and funding as well as significant publications in high impact journals.

To be eligible, the nominee must be a full-time associate professor/full professor working in the area of neuroscience and brain function in health and disease. Current major NIH or other peer-reviewed funding is preferred but evidence of such funding in the past three years is essential. The grant period is for two years totaling $150,000. The support focus is for new research projects of the highest scientific merit. 

Brain Research Foundation’s Scientific Innovations Award Program provides funding for innovative science in both basic and clinical neuroscience. This funding mechanism is designed to support creative, exploratory, cutting edge research in well-established research laboratories, under the direction of established investigators.

The objective of the SIA is to support projects that may be too innovative and speculative for traditional funding sources but still have a high likelihood of producing important findings. It is expected that investigations supported by these grants will yield high impact findings and result in major grant applications and significant publications in high impact journals.

Funding Preferences:

• Funding is to be directed at projects that may be too innovative and speculative for traditional funding sources but still have a high likelihood of producing important findings. This should be a unique project for senior investigators who are encouraged to stretch their imagination into areas that can substantially change an area of research.
• Funding of research projects that will likely lead to successful grant applications with NIH and other public and private funding entities.