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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 all of the following expected outcomes:Methods and tools to support measurement, simulation and validation of non-exhaust pollutant emissions in road and railway transport into the environment;Estimates on the impact of these pollutants on human health, terrestrial ecosystems and the aquatic environment (including biodiversity in these ecosystems) with particular focus on microplastics and other heavier non-airborne particles;Delivery of better emission factors for emission inventories and projections, including the European Monitoring and Evaluation Programme (EMEP), also for resuspension, for which little knowledge exists today;Recommendations and mitigation strategies including the determination of appropriate KPIs and assessing the effectiveness of control measures with an appropriate cost-benefit analysis to understand t...

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 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).

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...

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: 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:Increased competitiveness and productivity, through innovative AI-enabled advanced manufacturing processes and operations, including real-time monitoring and adaptive optimisation; andReduction of emissions and alignment with Clean Industrial Deal objectives. Scope:AI approaches in manufacturing processes hold the potential to significantly enhance circularity, process and operational efficiency as well as sustainability of modern factories. Current state-of-the-art technologies have already paved the way for more streamlined operations, yet there remains untapped value in e.g. quality improvement, definition of optimal process operating conditions, reduction of scrap, optimization of energy usage. Real-time monitoring and adaptive optimisation using AI models can enable agile responses to production variability and support sustained, high-performance operations.New solu...

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...

Expected Impact:The results of the activities should contribute to support common procurement, leading to strengthening the cooperation among Member States and associated countries, as well as to greater interoperability. Furthermore, they should contribute to the replenishment of depleted stockpiles of counter-drone systems, to the increase of existing stockpiles or to establishment of defence industrial readiness pool, as well as to the development and reinforcement of counter-drone solutions as drones are being increasingly perceived as a pressing threat.Objective:This topic aims at actions supporting the common procurement of integrated systems (e.g. VSHORAD or SHORAD) or parts thereof (including sensors, kinetic or non-kinetic effectors - including direct energy weapons -, command and control solutions) to counter unmanned aerial, ground, surface or underwater vehicles, including th...

Expected Impact:Projects are expected to deliver results aligned with the expected results set out in this call topic and to evidence their contribution through dedicated KPIs defined in the proposal. Expected results include: • demonstrable and sustainable increase in production capacity for the targeted ammunition, bombs and missiles production lines, enabled by operational joint filling plants and production lines; • measurable reduction of production lead time from order/production decision to delivery in UA; • improved timely availability and supply of defence products for UA, including increased delivery reliability and readiness of production lines; • effective cross-border cooperation between UA and EU that enables production ramp-up, qualification, integration and sustainment. Proposals shall define, baseline and track KPIs such as: filling throughput (e.g., units/month or tonne...

Expected Impact:The results of the activities should contribute to support common procurement, leading to strengthening the cooperation among Member States and associated countries, as well as to greater interoperability. Furthermore, they should contribute to the building up of strategic stockpile of ammunition, missiles, including their components, or to the increase of existing ones, as well as to the development of low-cost unmanned systems for guided strikes adapted to modern warfare scenarios.Objective:This topic aims at actions supporting the common procurement of ammunition (including small arms ammunition, tank and anti-tank ammunitions, artillery ammunition, guided ammunitions), missiles (all types of missiles) and other explosive weapons (including hand grenade, land and naval mines, mortar, rockets, unmanned systems (aerial, ground, surface and underwater vehicles controlled...