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Summary: The OCRP Clinical Trial Award supports the rapid implementation of clinical trials with the potential to have a significant impact on the treatment or management of ovarian cancer.Distinctive Features: Clinical trials may be designed to evaluate promising new products, pharmacologic agents (drugs or biologics), devices, clinical guidance and/or emerging approaches and technologies. Proposed projects may range from small proof-of-concept trials (e.g., pilot, first-in-human, phase 0) to demonstrate the feasibility or inform the design of more advanced trials through large-scale trials to determine efficacy in relevant patient populations.

Summary: Initially created in FY09, the OCRP Ovarian Cancer Academy (OCA) is a unique, interactive virtual academy providing intensive mentoring, national networking, collaborations, and a peer group for junior faculty. The overarching goal of the OCA is to conduct innovative and impactful ovarian cancer research while developing successful, highly productive ovarian cancer researchers in a collaborative research and career development environment.Distinctive Features: The OCA is a virtual career development and research training platform that consists of Early-Career Investigators (ECIs), their Designated Mentors, and an Academy Dean and Assistant Dean. The OCA-ECI Award is not a traditional career development award; the ECI is expected to participate in monthly webinars and annual workshops and to communicate and collaborate with other members of the Academy (other ECIs, Mentors, the Dean and Assistant Dean) as well as with the advocacy community.

Summary: Created in FY23, the Ovarian Cancer Clinical Trial Academy (OCCTA) supports the next generation of Early-Career Investigators (ECIs) in clinical trial research to produce effective treatments and cures for ovarian cancer. The OCCTA, through its Leadership, provides for professional and leadership development of the ECIs to include skills and competencies needed to execute clinical trials, providing intensive mentoring, national networking, collaborations, and a peer group for junior clinical trialists. The OCCTA will bring together established investigators (the Academy Dean and Assistant Dean), established Career Guides (mentors), and a group of ECIs/Scholars to conduct successful, highly productive clinical trials in ovarian cancer.Distinctive Features: Research funded under this FY26 funding opportunity will support translational research and small-scale, early-phase clinical trials in ovarian cancer. Preliminary data are required, however, these data do not necessarily need to be derived from the ovarian cancer research field. The ECI must be within 12 years of their last postdoctoral research position (Ph.D.), clinical fellowship (M.D.), or equivalent at the time of full application submission deadline. The ECI must commit no less than 25% effort to this award and/or OCCTA activities for the first two years. The Designated Mentor must be a clinical trialist with a strong record of mentoring and training early-career investigators.

Summary: The Ovarian Cancer Pilot Award supports research that expands or modifies current thinking about and/or approaches in ovarian cancer, exploring innovative concepts or theories in ovarian cancer that could ultimately lead to critical discoveries or major advancements that will drive the field forward.Distinctive Features: Innovation is key. Research projects that demonstrate exceptional scientific merit but lack innovation do not meet the intent of the mechanism. Preliminary data are not required but are allowed for this mechanism.This mechanism includes a blinded pre-application component. Pre-applications to this funding opportunity will undergo a blinded pre-application screening. While preparing your pre-application, do not include any material that may identify the PI, a collaborator, or the organization of the PI or collaborator.

Summary: The Ovarian Cancer Research Program (OCRP) Investigator-Initiated Research Award is intended to support high-impact research that addresses a critical need and has the potential to make an important contribution to ovarian cancer or patient/survivor care.Distinctive Features: Application must contain strong research plan with sound scientific rational and logical reasoning. Preliminary data are required. Research projects may focus on any phase of research, from basic laboratory research through translational research, excluding clinical trials.Partnering Principal Investigator (PI) Option: The Partnering PI Option is structured so that two investigators, each of whom will be designated as a PI, will work synergistically on a single project. The results of this partnering project should significantly advance the research beyond what would be possible through individual efforts.

The EDU Core Research (ECR) program offers this ECR:Core solicitation and invites proposals for fundamental research (curiosity-driven basic research and use-inspired basic research) that contributes to the general, explanatory knowledge that underlies STEM education in one or more of the three broadly conceived Research Areas: Research onSTEM Learning and Learning Environments, Research on Broadening Participation in STEM fields, andResearch on STEM Workforce Development. Within this framework, the ECR program supports a wide range of fundamental STEM education research activities, aimed at learners of all groups and ages in formal and informal settings. Fundamental researchgenerates knowledge and understanding with the potential for broad relevance. The potential implications of ECR fundamental research for improving STEM education practice may be indirect and long-term rather than direct and immediate. Moreover, whether they include basic or use-inspired basic research, all successful ECR:Core proposals focus on the advancement or refinement of foundational knowledge for STEM education. The amount of funding and duration requested in proposals submitted to the ECR:Core solicitation should align with the maturity of the proposed work and the size and scope of the empirical effort. The solicitation has three levels of funding with a range of budget sizes, and proposals may request a duration of 3 to 5 years for any level: (1)Level I proposals may request up to $500,000; (2)Level II proposals may request up to $1,500,000; (3)Level III proposalsmay request up to $2,500,000.....

This notice of funding opportunity (NOFO) invites applications from eligible organizations to establish a Data Coordination and Integration Center (DCIC) for the NIH HEAL Initiative. This Center will support the coordination and integration of data from both the HEAL INTERACT program and progressively facilitate broader integration of related musculoskeletal datasets and programs. The Data Coordination and Integration Center will lead efforts for managing and integrating complex pain-associated data types and information from the INTERACT Consortium and progressively related datasets. It will also establish a web-accessible information system and disseminate datasets that can facilitate hypothesis generation and be widely used throughout the research community.

This notice of funding opportunity (NOFO) seeks to establish a course to equip researchers studying drug use, drug misuse, and drug addiction with the skills, knowledge, and practical tools needed to translate their scientific discoveries into impactful real world solutions. The course is envisioned to focus on building capacity in product development, entrepreneurship, and innovation pathways so participants can more effectively move biomedical ideas from early research toward implementation, or commercialization. By combining structured training, mentorship, and hands-on experience, the course is envisioned to accelerate the development of biomedical products that address the complex challenges of drug use, drug misuse, and drug addiction, while fostering an interdisciplinary community of investigators prepared to navigate the scientific, regulatory, and business aspects of this unique research field.

Expected Outcome:Expected outcomes and deliverables are:Work strand 1: Guidance for public authorities and healthcare providers to deploy, upgrade and operate digital health services and systems that support the rights of citizens and fulfil their obligations under the EHDS.Maintenance and expansion of a community of public authorities and healthcare providers based on common guidance for services and systems aligned with the objectives of the EHDS. The community should build upon one or more existing communities.Large-scale deployment of and/or capacity building for digital health services and systems that support the EEHRxF and the rights of citizens included in the EHDS.Work strand 2: A toolbox for data holders to support dataset description, data quality and utility labelling, and secondary use readiness in alignment with the EHDS.Establishment or expansion of existing community of d...

Buyer: Gemeente Zaanstad | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-02

Buyer: Schweizerische Post AG - Fachstelle Beschaffung | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-02

Buyer: Dienst Uitvoering Onderwijs (DUO) | Notice type: cn-standard | Procedure: restricted | Contract: services | Deadline: 2026-10-02

Buyer: Gemeente Alkmaar | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-02

Buyer: De Dienst voor het kadaster en de openbare registers (het Kadaster) | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-02

Buyer: Ministerie van Defensie | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-02

Buyer: Møre og Romsdal Fylkeskommune | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-02

Buyer: Rhätische Bahn AG | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-02

Buyer: Nantes Métropole | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-02

Buyer: University of Oulu | Notice type: cn-desg | Procedure: oth-mult | Contract: services | Deadline: 2026-10-02

Buyer: Viešoji įstaiga CPO LT | Notice type: cn-standard | Procedure: restricted | Contract: supplies | Deadline: 2026-10-02

Buyer: Viešoji įstaiga CPO LT | Notice type: cn-standard | Procedure: restricted | Contract: supplies | Deadline: 2026-10-02

This is a Notice of Funding Opportunity (NOFO) for a Limited Competition that will invite application(s) from eligible organization(s) to apply. Please see Section III. Eligibility for additional information. The purpose of this NOFO is to seek applications in a limited competition for the Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Centers (IDDRCs). This NOFO invites applications to undergo peer review for research center grants designed to advance the diagnosis, prevention, treatment, and amelioration of intellectual and developmental disabilities (IDD) and is limited to IDDRCs funded under RFA-HD-20-016 or RFA-HD-21-009. In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding.This NOFO seeks applications from institutions that meet the qualifications for a multidisciplinary program of IDD research that will include: 1) 3-4 total Cores that facilitate interdisciplinary and translational research in IDD and its dissemination, and that support IDD-related projects funded by other sources; and 2) at least two and no more than three specific research projects related to one of several areas identified as areas of research need in IDD. Collaborative investigations combining expertise in translational science, biomarker assessment, outcome measure development, tool validation, bioinformatics, and therapeutic development will be encouraged. Funds for the majority of outside research projects using these core facilities come from independent....

This Notice of Funding Opportunity (NOFO) invites exploratory grant applications, hereafter referred to as the Novel Experiential Technologies Assisting Individual learning Hubs or NExT AI Hubs (formerly Learning Disabilities Innovation Hubs), to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnosed with or at risk for developing a specific learning disability (SLD) impacting reading, writing, and mathematics. NExT AI Hubs include a single Research Project and a Leadership Core that support the goals and aims of the Hub. This NOFO seeks to serve as a catalyst to 1) speed the maturation of nascent/novel, high-impact, high-risk research that advances understanding of the role AI technology plays in supporting, improving, or limiting the learning, cognitive, and socio-emotional needs of children at risk for or diagnosed with SLDs, 2) build an evidence base for the SLD community to inform policy or practice, and 3) provide project-embedded, career-enhancing research and professional development opportunities to support the next generation of transdisciplinary SLD scientists. This initiative provides opportunities to support planning and building a body of research and corresponding intellectual infrastructure to enable NExT AI investigators to compete for large research and program project opportunities in the future.This NOFO aims to integrate research topics that are of relevance to various research programs at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and align with th...

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges.The purpose of this NOFO is to create a Logistics Center for the PRIMED-AI Program to facilitate and coordinate PRIMED-AI activities to maximize impact for the PRIMED-AI community. Within the Logistics Center, three integrated Cores will serve the functions of Administration, Evaluation, and Outreach for the PRIMED-AI Consortium. It is expected that the Logistics Center will work closely with other PRIMED-AI consortium members to collect, curate and disseminate information regarding tools developed by the PRIMED-AI award recipients, and will facilitate widespread access and awareness across the relevant scientific, patient, and clinical communities.

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for the creation of a Validation Center to serve as a dedicated hub for the comprehensive evaluation and characterization of AI-enabled, image-based, multimodal CDS tools developed by the PRIMED-AI Consortium, to ensure these tools are reliable, reproducible, and generalizable. The Validation Center will focus on verification, validation, interoperability, and uncertainty quantification to comprehensively characterize performance of the CDS tools developed by the program. The core functions of the Validation Center will involve the systematic validation of PRIMED-AI Consortium deliverables, including those emerging from award recipients under the Playbook, Data-to-Model Academic-Industrial Partnerships, and Model-to-Clinic NOFOs.