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

Buyer: Gemeente Groningen | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-08

Buyer: Tours métropole Val de Loire | Notice type: cn-desg | Procedure: restricted | Contract: services | Deadline: 2026-10-08

Buyer: Dienstencentrum voor de Rechtspraak | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-08

Buyer: Kristianstads kommun | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-08

Buyer: Gemeente Maastricht | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-08

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

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

Buyer: Enexis Netbeheer BV | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-08

Buyer: Alliander N.V. | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-08

Buyer: Infraestruturas de Portugal, SA | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-08

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...

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.

The NSF Directorate for Engineering (ENG) seeks to build engineering research capacity across the nation by investing in new academic investigators who have yet to receive sufficient research funding from Federal Agencies. The Engineering Research Initiation (ERI) program will support new investigators as they initiate their research programs and advance in their careers as researchers, educators, and innovators. This funding opportunity aims to broaden the base of investigators involved in engineering research and therefore is limited to investigators that are not affiliated with “very high research activity” R1 institutions (according to the Carnegie Classificationhttps://carnegieclassifications.iu.edu/).

Buyer: Chambre de commerce et d'industrie Nouvelle-Aquitaine | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-09

Buyer: Trenitalia S.p.A. Direzione Logistica Industriale Acquisti Tecnici | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-09

Buyer: MAIRIE DE VILLEPINTE | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-09

Buyer: Ředitelství silnic a dálnic s. p. | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-09

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