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Buyer: GCS Achats Santé en Occitanie | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-08

Buyer: SEROC | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-08

Expected Outcome:Project results are expected to contribute to some of the following expected outcomes:Improved quality and reduced uncertainty of global and regional climate change projections;Critical knowledge and data gaps in Earth system science as identified in the IPCC Sixth Assessment Report (AR6) and other authoritative sources, are addressed, ensuring that future climate assessments are grounded in the most comprehensive and up-to-date scientific evidence;New climate science evidence is generated that is relevant for policy needs and for informing climate action. Scope:The global community’s ability to mitigate and adapt to climate change requires the continuous advancement of climate science and related disciplines. International climate policy is informed primarily by the assessments made by the Intergovernmental Panel on Climate Change (IPCC), which provides the most compreh...

Buyer: Consorci de Salut i d’Atenció Social de Catalunya | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-09

Buyer: Consorci de Salut i d’Atenció Social de Catalunya | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-09

Buyer: Gemeente Heerde | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-09

Buyer: Trafikverket Myndighet | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-09

Buyer: Burgergemeinde Biel | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-09

Buyer: GRAD ZAGREB | Notice type: cn-desg | Procedure: open | Contract: services | Deadline: 2026-10-09

Buyer: Kraftwerke Oberhasli AG | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-09

Buyer: Kraftwerke Oberhasli AG | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-09

Buyer: Gerencia del Consorcio Maspalomas Gran Canaria | Notice type: cn-standard | Procedure: restricted | Contract: services | Deadline: 2026-10-09

The Algebra and Number Theory program supports research in algebra, algebraic and arithmetic geometry, number theory, and representation theory. Conference proposals The Algebra and Number Theory program also provides support for conferences, workshops, summer/winter schools, and similar activities. Proposals should be submitted to PD 20-1264 using the "Conference" proposal type in research.gov. Proposals with budgets not exceeding $50,000, which in accordance with NSF policy can be reviewed internally, should be submitted: in May for events that will take place in January through April of the following year in October for events that will take place in May through December of the following year. In order to allow time for external review, proposals with budget requests exceeding $50,000 should be submitted nine to twelve months before the event is scheduled to take place.

Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology. The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding...

This Notice of Funding Opportunity (NOFO) invites applications for a Research Coordinating Center (RCC) to participate in a consortium of clinical centers that will test anti-obesity medication (AOM) treatment strategies for youth with obesity that maximize benefits and minimize risks of AOM use. Such intervention strategies should support the promotion of healthy growth and development; adequate nutritional status/intake, healthy eating and physical activity behaviors; mental health and well-being (e.g., body image, self-esteem, mood, etc.), and quality of life and be feasible to implement in clinical care settings. Priority areas include testing strategies to determine optimal developmental stage for AOM initiation, rate and amount of weight loss, AOM class, dose, frequency, and duration, and content and intensity of adjunct lifestyle therapies that may be imperative to ensure normal psychological and physical development and to potentially avoid lifelong dependence on AOMs. Investigators should also evaluate potential predictors of response/ nonresponse to various treatment strategies under evaluation. The clinical centers may conduct independent or multicenter trials but will collaborate on the development of protocols, use of common measures and data elements, use of a central laboratory and standardized procedures to collect data and biospecimens, and data analyses and manuscriptsThe RCC will lead, manage, and harmonize efforts for the Consortium including 1) providing management and administrative support; 2) providing leadership and expertise on statistical design a...

This Notice of Funding Opportunity (NOFO) invites applications from clinical centers to participate in a consortium to test anti-obesity medication (AOM) treatment strategies for youth with obesity that maximize benefits and minimize risks of AOM use. Such intervention strategies should support the promotion of healthy growth and development; adequate nutritional status/intake, healthy eating and physical activity behaviors; mental health and well-being (e.g., body image, self-esteem, mood, etc.), and quality of life and be feasible to implement in clinical care settings. Priority areas include testing strategies to determine optimal developmental stage for AOM initiation, rate and amount of weight loss, AOM class, dose, frequency, and duration, and content and intensity of adjunct lifestyle therapies that may be imperative to ensure normal psychological and physical development and to potentially avoid lifelong dependence on AOMs. Investigators should also evaluate potential predictors of response/ nonresponse to various treatment strategies under evaluation. The clinical centers may conduct independent or multicenter trials but will collaborate on the development of protocols, use of common measures and data elements, use of a central laboratory and standardized procedures to collect data and biospecimens, and data analyses and manuscripts. This NOFO uses a cooperative agreement mechanism (U01) and runs in parallel with a companion NOFO (RFA-DK-27-136).

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 design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use. Frameworks developed through these awards would populate a "playbook", defined as a collection of actionable guidelines, standardized protocols, and/or standard operating procedures (SOPs) for reliable and effective development and deployment of multimodal AI tools. It is expected that the frameworks delineated in this playbook will directly address PRIMED-AI objectives and needs, while also remaining flexible enough to enable sufficient extensibility and interoperability for use across a broad spectrum of multimodal biomedical AI applications, both internal and external to the PRIMED-AI Program.

Buyer: Syndicat Martiniquais de Traitement et de Valorisation des Déchets | Notice type: cn-standard | Procedure: restricted | Contract: supplies | Deadline: 2026-10-10

The purpose of this notice of funding opportunity (NOFO) is to elucidate the key components of the therapeutic effects of rapid-acting psychotropic interventional drugs (RAPIDs) by addressing the methodological challenges involved with these clinical trials. In addition, this NOFO seeks to advance understanding of how RAPIDs and adjunctive psychosocial interventions can be optimally delivered, monitored, and sustained over time to enhance effectiveness and generalizability. The NOFO will support studies designed to enhance the rigor of RAPID clinical trial design, which will ultimately increase the interpretability of the data and the generalizability of the results.

Buyer: Gemeente Sint-Pieters-Leeuw | Notice type: cn-social | Procedure: open | Contract: services | Deadline: 2026-10-12

Buyer: Rijksvastgoedbedrijf | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-12

Buyer: Ministère de l'Économie, des Finances et de la Souveraineté industrielle, énergétique et numérique | Notice type: cn-standard | Procedure: oth-single | Contract: works | Deadline: 2026-10-12

Buyer: Gemeente Maastricht | Notice type: cn-standard | Procedure: oth-mult | Contract: services | Deadline: 2026-10-12

Expected Outcome:Projects are expected to contribute to the following outcomes:To develop and demonstrate innovative AI-driven solutions in materials and process development to enhance the competitiveness and sustainability of the process industries by better products and process technologies and reducing the time to marketTo increase the competitiveness of materials production in Europe by AI-supported optimal operation of plants and value networks and early detection of problems and failuresTo improve the working conditions in the plants by using AI technologies, metaverse, and robots. Scope:Drastically improved AI methods and technologies hold transformative potential for the process industries, enabling advancements in process design, operational efficiency, and faster innovation across the entire lifecycle of plants and products. By using different AI approaches such as multimodal g...

Expected Outcome:Make safer and more sustainable alternatives to substances of concern available to the industries offering products with targeted performances and supporting their competitiveness,Speeding up the innovation cycle within a value chain important for European industry;Enhancing competitiveness of the industries by reducing regulatory and operational costs, while making supply chains more secure;Production processes, chemicals, materials and products that are inherently safer and more sustainable for a clean and autonomous economy; andDemonstrating how the safe and sustainable by design (SSbD) chemicals and materials framework can guide innovation and encourage innovators to minimise the use of substances of concern, reducing negative impacts on human health, climate and ecosystems. Scope:The focus of this topic is on alternatives for the substitution of substances of concer...