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Buyer: AOK PLUS - Die Gesundheitskasse für Sachsen und Thüringen | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-01-31

Buyer: AOK PLUS - Die Gesundheitskasse für Sachsen und Thüringen | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-01-31

Buyer: Håbo kommun | Notice type: cn-standard | Procedure: restricted | Contract: services | Deadline: 2027-01-31

Buyer: Hansel Oy | Notice type: cn-standard | Procedure: restricted | Contract: supplies | Deadline: 2027-01-31

Buyer: Hansel Oy | Notice type: cn-standard | Procedure: restricted | Contract: supplies | Deadline: 2027-01-31

Buyer: Šakių rajono savivaldybės administracija | Notice type: cn-standard | Procedure: restricted | Contract: services | Deadline: 2027-01-31

Buyer: ACOSS ETABLISSEMENT PUBLIC | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2027-02-01

Buyer: BARMER Beschaffung und Vergabe | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: BARMER Beschaffung und Vergabe | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: AOK - Die Gesundheitskasse in Hessen Postanschrift: Kölner Str. 8, 65760 Eschborn Land: Deutschland Kontaktstelle(n): z. Hd. Frau Corinna Varelmann E-Mail: am-vertragsteam@he.aok.de Telefon: +49 61964069711 Fax: +49 6966816559711 Internet-Adresse(n):Hauptadresse: http://www.aok.de/hessen/ | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: AOK - Die Gesundheitskasse in Hessen Postanschrift: Kölner Str. 8, 65760 Eschborn Land: Deutschland Kontaktstelle(n): z. Hd. Frau Corinna Varelmann E-Mail: am-vertragsteam@he.aok.de Telefon: +49 61964069711 Fax: +49 6966816559711 Internet-Adresse(n):Hauptadresse: http://www.aok.de/hessen/ | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: AOK - Die Gesundheitskasse in Hessen Postanschrift: Kölner Str. 8, 65760 Eschborn Land: Deutschland Kontaktstelle(n): z. Hd. Frau Corinna Varelmann E-Mail: am-vertragsteam@he.aok.de Telefon: +49 61964069711 Fax: +49 6966816559711 Internet-Adresse(n):Hauptadresse: http://www.aok.de/hessen/ | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: BARMER Beschaffung und Vergabe | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: AOK - Die Gesundheitskasse in Hessen Postanschrift: Kölner Str. 8, 65760 Eschborn Land: Deutschland Kontaktstelle(n): z. Hd. Frau Corinna Varelmann E-Mail: am-vertragsteam@he.aok.de Telefon: +49 61964069711 Fax: +49 6966816559711 Internet-Adresse(n):Hauptadresse: http://www.aok.de/hessen/ | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: AOK NordWest | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2027-02-01

Buyer: Uždaroji akcinė bendrovė "Kauno vandenys" | Notice type: cn-standard | Procedure: restricted | Contract: services | Deadline: 2027-02-01

Buyer: Uždaroji akcinė bendrovė "Kauno vandenys" | Notice type: cn-standard | Procedure: restricted | Contract: services | Deadline: 2027-02-01

Expected Outcome:Project results are expected to contribute to the following expected outcomes:Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments; Accelerated scientific discovery with increased efficiency and reproducibility; Improved scientific productivity; Advancement of laboratory automation, including development of best practices, challenges, and opportunities for accelerating R&D; Prototype functional demonstrators that showcase the integration of automation with AI-driven decision-making, enabling the development of closed-loop scientific experimentation systems. Scope:This topic addresses the development of safe and trustworthy closed loop scientific experimentation systems through the integration of laboratory automation with AI-driven decision-making...

Expected Outcome:Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments;Accelerated scientific discovery with increased efficiency and reproducibility;Improved scientific productivity;Advancement of laboratory automation, including development of best practices, challenges, and opportunities for accelerating R&D; andPrototype functional demonstrators that showcase the integration of automation with AI-driven decision-making, enabling the development of closed-loop scientific experimentation systems. Scope:This topic addresses the development of safe and trustworthy closed loop scientific experimentation systems through the integration of laboratory automation with AI-driven decision-making processes and robust data infrastructures. Funded projects will help scientifi...

Expected Outcome:The commercial potential of Horizon research results is explored;Results of Horizon projects are valorised, by ensuring a pathway to commercialisation; andStartups and SMEs become involved in valorisation. Scope:The EU must do better in translating the knowledge generated by the Framework Programme into innovations with economic and societal value.The objective of this action is to provide financial support (‘Proof of market’) to small consortia (i.e. spin-offs, startups, SMEs) to explore the exploitation potential, in the EU, of achieved results from ongoing or completed projects funded under Cluster 4 ‘Digital, Industry and Space’ or its predecessor activities under the Leadership in enabling and industrial technologies (LEIT)[1] part of Horizon 2020.The consortia do not necessarily have to be made of former or current beneficiaries but should own or have access to the...

Expected Outcome:Advanced manufacturing technology and machinery becomes available in Europe for the manufacturing of key and high-performance products;Where relevant, production becomes increasingly circular through the reuse of secondary raw materials; and/or innovative advanced materials are incorporated in manufactured products, leading to better performance and quality; Resource efficiency in terms of materials and energy is increased significantly; andCircularity, productivity and competitiveness are increased, and hence resilience of European industry is enhanced. Scope:This topic addresses technologies and machinery for advanced manufacturing, focusing on manufacturing excellence and on increasing circularity, including through the better use of innovative advanced materials and secondary raw materials. The focus is on key manufactured components and products that are competitive...

Expected Outcome:Proposals should demonstrate the following expected outcomes:A sound understanding of the specific needs of industrial users (including but not limited to innovative SMEs, startups and scaleups) for Technology infrastructure services in specific priority areas including but not limited to advanced materials, clean energy, or health and biotechnology;Increased opportunities for industrial users for development, testing, up-scaling and deployment of new technologies via the use of services offered by Technology Infrastructures;Strengthened innovation and technology development capacity of European SMEs, startups and scaleups via improved access to Technology Infrastructures;Attractiveness and effectiveness of the developed access schemes for broadening the range of Technology Infrastructures users, especially for startups and scaleups, including with transnational access....

Expected Outcome:Innovative advanced materials designed for circularity are adopted in products faster, through accelerated production and technology uptake;Business models become available to enhance the use of circular advanced materials in strategic value chains; andResource efficiency (materials and energy) is increased significantly through a focus on circular advanced materials. Quality standards, harmonisation and regulatory requirements are addressed facilitating simplified market transition. Scope:The focus of this topic is on enabling circularity and resilient supply networks through R&I in advanced materials, in particular recyclable polymers and composites, magnets and metal (alloys) for additive manufacturing, and on accelerating their pathway to market. Proposals should develop new innovative advanced materials (IAMs) with superior or novel functionalities designed for circ...

Expected Outcome:Increased recovery rates of valuable raw materials, particularly critical raw materials from low grade or complex ores and/or from mining waste;Increased economic performance in terms of higher material-, water-, energy- and cost-efficiency and flexibility in minerals processing and metallurgical processes; andImproved health, safety and environmental performance of the operations throughout the whole life cycle that is considered, including a reduction in waste, wastewater and generation of emissions of air pollutants and a better recovery of resources from generated waste, reducing the environmental footprint and contributing to biodiversity and ecosystems preservation. Scope:Actions should develop and validate / demonstrate pilot scale facility located in the EU integrating relevant processing and refining technologies for improved recovery of raw materials from low g...

Expected Outcome:A viable industrial ecosystem for circularity in manufacturing industries emerges, enhancing both circularity and resilience;De-manufacturing technologies and practices become available, making decisive contributions to a European remanufacturing industry and market;Functions of products are retained, reused, upgraded or adapted through de-manufacturing and re-manufacturing; andSkills, standards and safety measures relevant to remanufacturing are developed. Scope:Proposals should focus on developing de-manufacturing and re-manufacturing technologies at the factory level, addressing at least three of the following:Technologies to efficiently analyse part condition and support predictive maintenance, including for re-manufactured parts or components of lower value, e.g. by combining multimodal sensor data, AI and human inputs;AI and robotic-assisted technologies, e.g. inno...