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Notice of Intent to Issue Funding Opportunity Announcement: Industrial Assessment Centers Technical Field Manager

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Golden Field Office

The Office of Energy Efficiency and Renewable Energy (EERE) intends to issue, on behalf of the Advanced Manufacturing Office (AMO), a Funding Opportunity Announcement (FOA) entitled Industrial Assessment Centers Technical Field Manager (DE-FOA-0001679). This FOA supports EERE AMO technical assistance activities. As background, the Industrial Assessment Center (IAC) program is a resource conservation and workforce development initiative of AMO based in the engineering departments of universities nationwide. IACs conduct assessments and provide site-specific recommendations to small manufacturers on opportunities to improve productivity, reduce waste, and save energy. The program also provides engineering students with invaluable hands-on experience in energy engineering and energy management. Through the FOA referenced above, EERE intends to fund the activities for an IAC Technical Field Manager. The IAC Technical Field Manager plays a critical role in the IAC program. The Technical Field Manager is a liaison between the AMO Technology Manager and the individual IACs, provides technical assistance and outreach to individual centers, and is the principle mechanism for ensuring the 28 individual IACs and their associated satellite centers perform at the highest possible level and that their activities support the achievement of AMO goals. The Technical Field Manager s core responsibilities include the following: Providing technical assistance for quality control of Center operations, assessments, and outreach activities; Providing technical reviews and feedback on all of the IAC assessment reports; Integrating DOE priorities around practices and technologies into IAC operations; Providing training and technical assistance to the IAC staff and students and external stakeholders; Maintaining and upgrading the IAC websites and databases; Developing technical and informational resources for IAC clients and small and medium-sized manufacturers nationwide; Advancing the deployment of an accredited energy efficiency engineering degree; and Extending IAC program impacts beyond manufacturers and students immediately engaged by the Centers. Through this announcement, DOE is seeking detailed applications for a Technical Field Manager who will provide these core activities, as well as respond to new program innovations and priorities from DOE. Examples of the Technical Field Manager s potential new or expanded activities include: Training IACs on cybersecurity improvements, water sector assessments, energy management systems and smart manufacturing; Coordinating IAC student and alumni activities, including social media, to highlight career achievements; Moving to online reporting for assessments; Developing readily accessible resources around critical energy areas relevant to small and medium manufacturers, especially those not receiving IAC assessments; and Developing online best practice resources for industrial sector-specific energy saving and productivity improvements. EERE envisions awarding one financial assistance award in the form of a cooperative agreement. The estimated period of performance for the award will be five years. This NOI is issued so that interested parties are aware of EERE s intention to issue a FOA in the near term. All of the information contained in this NOI is subject to change. EERE may issue a FOA as described herein, may issue a FOA that is significantly different than the FOA described herein, or DOE may not issue a FOA at all. NO APPLICATIONS WILL BE ACCEPTED THROUGH THIS NOTICE. Please do not submit questions or respond to this NOI. Prospective applicants to the FOA should begin developing partnerships, formulating ideas, and gathering data in anticipation of the issuance of this FOA. It is anticipated that this FOA will be posted to EERE Exchange in December 2016. Please access the complete Notice of Intent on https://eere-exchange.energy.gov/. The applicant must first register and create an account on the EERE Exchange website. A User Guide for the EERE Exchange can be found on the EERE website http://eere.energy.gov/financing/exchangeExchange/Manuals.aspx after logging in to the system.

$4M – $5M
rolling
energyclean energy

Free to search & build · $99 one-time to unlock the application pack · No subscription

Occupational Safety and Health Education and Research Centers (T42)

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Centers for Disease Control and Prevention - ERA

<p>The National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC), invites grant applications for Education and Research Centers (ERCs) that are focused on occupational safety and health training. NIOSH is mandated to provide an adequate supply of qualified personnel to carry out the purposes of the Occupational Safety and Health Act, and the ERCs are one of the primary means for meeting this mandate. ERCs are academic institutions that provide high-quality interdisciplinary graduate and post-graduate training, research training, continuing education, and outreach in the core occupational safety and health disciplines of industrial hygiene, occupational health nursing, occupational medicine, and occupational safety, as well as allied disciplines. Research and research training are integral components of ERCs, with ERC faculty and NIOSH trainees conducting research on issues related to the NIOSH National Occupational Research Agenda (NORA) and emerging issues to advance the field of occupational safety and health. NIOSH ERCs have regional presence to further diversify the occupational safety and health profession through their core values, mission statements, and outputs. ERCs serve as resources for our nation's workforce through continuing education, outreach and strong collaboration with professional associations, worker advocacy groups, businesses, industries, and public health agencies. ERCs work with other institutions and organizations, including Minority Serving Institutions and other NIOSH supported training programs to have a positive impact on worker health, safety, and well-being.</p>

$4.5M – $9M
2028-10-26
Health

Free to search & build · $99 one-time to unlock the application pack · No subscription

Occupational Safety and Health Education and Research Centers (T42)

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Centers for Disease Control and Prevention - ERA

The National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC), invites grant applications for Education and Research Centers (ERCs) that are focused on occupational safety and health training. NIOSH is mandated to provide an adequate supply of qualified personnel to carry out the purposes of the Occupational Safety and Health Act, and the ERCs are one of the primary means for meeting this mandate. ERCs are academic institutions that provide high-quality interdisciplinary graduate and post-graduate training, research training, continuing education, and outreach in the core occupational safety and health disciplines of industrial hygiene, occupational health nursing, occupational medicine, and occupational safety, as well as allied disciplines. Research and research training are integral components of ERCs, with ERC faculty and NIOSH trainees conducting research on issues related to the NIOSH National Occupational Research Agenda (NORA) and emerging issues to advance the field of occupational safety and health. NIOSH ERCs have regional presence to further diversify the occupational safety and health profession through their core values, mission statements, and outputs. ERCs serve as resources for our nation's workforce through continuing education, outreach and strong collaboration with professional associations, worker advocacy groups, businesses, industries, and public health agencies. ERCs work with other institutions and organizations, including Minority Serving Institutions and other NIOSH supported training programs to have a positive impact on worker health, safety, and well-being.

$4.5M – $9M
2028-10-26
Healthhealthcare

Free to search & build · $99 one-time to unlock the application pack · No subscription

Open-source Low-field MRI: Learn, Design, Build, Scan

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NIBIB - National Institute of Biomedical Imaging and Bioengineering

SUMMARY We propose a three-day workshop, “Open-source Low-field MRI: Learn, Build, Scan,” to train biomedical imaging scientists through hands-on construction, scanning, and AI-based image reconstruction using low-cost, open- source MRI systems. Building on the successful “DELTA DIY MRI” at Johns Hopkins, it supports NIBIB’s leadership in biomedical imaging and NINDS’s neurotechnology workforce goals. The workshop’s three phases—Learn, Design & Build, and Scan—combine lectures, hardware prototyping, and real-time scanning with modular MRI setups. Daily milestones include RF Spin Echo and 1D projection (Day 1), 2D Turbo Spin Echo with deep learning super-resolution (Day 2), and 3D imaging with EMI mitigation (Day 3). Mentors with publication records will teach subsystems from magnets to phantoms. Luminary speakers will provide historical context and updates, fostering an engaging environment. Introductory sessions in GitHub and 3D printing will help participants of varied experience levels. Participants will use and contribute to open tools like PyPulseq, Virtual Scanner, and MRI4All, promoting reproducibility. The workshop plans to host 50 participants, with early registration, accessible venues, safety protocols, and NIH-compliant conduct policies. Attendees will gain access to detailed schematics, code, hardware docs, and recordings. The program expands access to MRI by enabling resource-sharing and providing post-workshop materials. Post-event support includes a resource hub, virtual mentoring, and remote scanner access. Promotion efforts include social media, society postings, and networks, with dissemination via project kits, walkthroughs, and tutorials. Scientific outputs include shared builds, software, and data reuse. Strategic backup plans address disruptions. Organizers—with experience and contributions to open-source MRI tools like PyPulseq—lead this initiative. The workshop aligns with PA-25-080 goals: technology dissemination, training, and research strengthening. It supports NIBIB’s imaging, workforce, and AI priorities, and NINDS’s neuroimaging goals. Deep learning super-resolution and phantom validation advance imaging rigor. Contextual understanding enhances critical thinking. Participants are encouraged to share knowledge, expanding capacity. Modular design allows replication in underserved regions. This scalable model aims to democratize MRI science and foster sustainable community growth, empowering technically fluent scientists to lead the future.

Up to $10K
2027-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Optimizing Pain Care for Individuals with Opioid Use Disorder by Addressing Stigma in Nurses

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NIDA - National Institute on Drug Abuse

Project Summary/Abstract Providing high-quality, patient-centered pain care is an essential component of nursing practice. However, for individuals with opioid use disorder (OUD), this goal is often obstructed not only by the complexities of pain management in this population but also by pervasive stigma. Nurses play a critical role in assessing and advocating for pain relief, yet they face significant challenges due to widespread stigma toward individuals with OUD. This stigma, shaped by insufficient education, limited clinical training, and societal attitudes, can compromise the quality of care delivered. This project will develop and pilot an evidence- and theory-informed intervention titled Stigma-reduction Training and Addiction Resources for Registered Nurses (STAR-RN). The intervention is designed to reduce stigma and improve nurses' knowledge and self-efficacy related to clinical decision-making in pain care for individuals with OUD during hospitalization. Guided by Intervention Mapping and a community-based participatory research approach, STAR-RN will be co-developed with individuals with lived experience of OUD and bedside nurses to ensure clinical relevance and practical application. The proposed study includes two specific aims: (1) develop the STAR-RN intervention; and (2) conduct a pilot study to evaluate its feasibility, acceptability, and preliminary effectiveness, measured by changes in nurse stigma, pain-related knowledge, and pain management self-efficacy. This project is innovative in its integration of stigma and pain content into a unified, nurse-centered intervention designed specifically for hospital-based nurses, a critical but under-targeted workforce in existing efforts. The digital, modular format and inclusion of lived experience ensure the intervention is scalable, adaptable, and grounded in real-world contexts. The proposed work directly aligns with the National Institute on Drug Abuse (NIDA) strategic priorities by addressing stigma as a modifiable barrier to care and advancing pragmatic, provider-level solutions to improve outcomes for people with complex pain and substance use needs. Through targeted training in addiction science, intervention design, qualitative methods, and interdisciplinary team science, this K23 award will provide the foundation for an independent research career focused on improving pain care and reducing disparities in acute care settings.

Up to $187K
2031-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Pacific Center for Artificial Intelligence and Data Science in Medicine (PAC-AID)

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NIGMS - National Institute of General Medical Sciences

PROJECT SUMMARY – Overall It is predicted that virtually every type of clinician will use data science, such as artificial intelligence (AI) and machine learning (ML), in the future. Further, AI/ML is expected to play a dominant role across medical disciplines throughout the human lifespan. The utilization and ultimate training of deep learning models require specialized education and skills. The curation and processing of large datasets from locally sourced patient populations requires a curation and analysis team with specialized knowledge of transferring medical data between sites and potentially federated learning. Adding to this complexity is the potential for bias when diagnostic models are trained on datasets that don’t contain the characteristics of the population utilizing the model. There is a need to develop a talented AI and data science biomedical workforce that is trained in innovative approaches to working with large research datasets. In response to the Notice of Special Interest (NOSI): Supporting Data Sciences Research in IDeA States through the Centers of Biomedical Research Excellence (COBRE) Phase 1 Program (NOT-GM- 23-011), we propose to create the Pacific Center for Artificial Intelligence and Data Science in Medicine (PAC-AID). The long-term goal of the PAC-AID is to form self-sustaining core facilities and an AI and biomedical data science program that continually trains investigators to utilize advanced data science to utilize all available biomedical data sources to improve health outcomes in Hawaii and the Pacific region. The objective is to create a nucleating site for the use of AI/ML data science technologies to further our understanding of human health in communities in Hawaii. Specifically, we will 1) foster a next-generation workforce to conduct biomedical research using Artificial Intelligence and advanced machine learning; 2) develop interactive state-of-the-art research cores and projects that support training opportunities for local investigators and foster collaboration across the national IDeA network; 3) establish a supportive Advisory Committee and Mentoring Team of academic leaders and content experts to provide the investigators and RPLs guidance on the successful completion of the Center’s and RPLs’ goals. The expected outcome of the PAC-AID is to form a synergistic environment for investigators to integrate AI and advanced machine learning into problems that were not solvable before. The positive impact on the state and large US community will be experienced investigators in various fields who can take full advantage of complex clinical, translational, and basic research data using AI and advanced data science methods.

Up to $2.6M
2031-02-28
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

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