France – Training services – Accord-cadre à bons de commande pour des prestations de formation professionnelle pour le CROUS Bretagne

France – Vocational training services – Marché ayant pour objet la préparation et l’accompagnement à la mobilité des demandeurs d’emploi dans un autre pays de l’Union européenne ou un pays associé dans le cadre de la mise en œuvre des programmes européens ERASMUS+

Expected Outcome: Project should contribute to all of the following expected outcomes: Research funders, policymakers and research communities in the social sciences and humanities (SSH) are provided with a multi-annual R&I programme on social transformations and resilience, responding to megatrends like climate change and biodiversity loss, digitalisation, demographic changes and unexpected shocks. Research investments on social protection and essential services, future of work, education and skills, and a fair transition to climate neutrality are increased. Stakeholders, including social partners and civil society, and policymakers are provided with evidence-based knowledge, tools and innovative solutions, which contribute to new policies and strategies for strengthening resilience, fairness, inclusiveness and social cohesion at European, national and regional level. Scope: Europe is undergoing critical social transformations driven by macro drivers of change, such as climate change, biodiversity loss, digitalisation and demographic change, which have been accelerated by events, such as the COVID-19 pandemic and Russia’s war of aggression against Ukraine. These transformations…

Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Availability and integration of advanced, trustworthy, energy-efficient perception systems, exploiting technological advancements of Generative AI (GenAI) to enhance situational awareness and support safe decision-making; Enhanced Vulnerable Road User (VRU) safety, based on elevated, more temper-proof perception and understanding of their behaviour and intention predictions; Enhanced robustness of CCAM systems - both on-board and on the infrastructure side - in critical situations due to their training, virtual testing and validation in scenarios generated by GenAI, complementing existing scenario databases for the testing and validation of CCAM systems; Enhanced understanding of the relevance and limitations of using GenAI for CCAM; Tools and harmonised approaches for the use of GenAI in mobility technology development, training and validation, as well as for systemic applications such as traffic management and remote control, integrating them into existing approaches. Scope: Pilots and demonstrations using Level 3 and 4 vehicle services face major challenges in perception and…

Expected Outcome: Projects are expected to contribute to all the following expected outcomes: Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. Advanced and - wherever possible - open-source AI foundation models to support the digitalisation of the energy system, through improved grid observability, forecasting of supply and demand, advanced storage and renewables integration, demand side flexibility and energy efficiency. Enhanced cooperation, knowledge sharing and interoperability among energy system actors for secure and seamless data exchange. Advanced methodologies for AI model development ensuring that the results are FAIR (Findable, Accessible, Interoperable, Reusable) beyond the project ending, open source and accommodating for technology evolution. Scope: The quality of AI models depends strongly on the amount, quality, and representativeness of the data used for their training. Projects are expected to focus on developing, training and testing AI foundation models, using extensive data sets to accelerate the energy transition in key focus…

Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Development of systems that utilize real-time data analytics to dynamically respond to disruptions, allowing transport and infrastructure operators to adjust operations swiftly and efficiently; Development of predictive maintenance strategies applying innovative Generative AI solutions and utilizing other digital technologies to anticipate and prevent infrastructure and equipment failures; Development of guidelines and tools to support passenger transport operators and authorities to ensure minimal disruption in unexpected and critical situations and organise real life emergency simulations; Deployment of training programme for transport and infrastructure operators on how to handle transport disruption, including tools and catalogue with contingency planning for specific transport disruptions; Reduction of average passenger delay at corridor level (at least 20%) during planned disruptions, compared to the baseline and of (at least 40%) time needed from the generation to the dissemination of a response plan to different stakeholders (e.g. transport operators, passengers, citizens)…

France – Radiotherapy devices and supplies – FOURNITURE D’EQUIPEMENTS ET LOGICIELS DE RADIOTHERAPIE ET PRESTATIONS ASSOCIEES

Expected Impact: The action under this topic is expected to achieve the following impacts: Accelerate EU access to more cost-effective interventions in an increasingly ageing population by identifying personalised treatment approaches for elderly-onset immune diseases. Decrease disease risk later in life by defining specific prevention strategies based on ageing biomarkers and risk factors. Halt age-associated disease exacerbation by the identification of predictive and digital biomarkers that can stratify patients for early intervention. Improve quality of life for healthy individuals and patients by preventing further health decline, avoiding escalating care costs, and properly stratifying individuals earlier in the diagnostic pathway. Accelerate adoption of innovative diagnostic, preventative, and therapeutic strategies, strengthening the EU’s position as a healthcare innovator. Evaluate digital biomarker as potential regulatory endpoints in the ultimate goal to develop medicines for ‘healthy ageing’. Integrate fragmented research efforts by bringing together health industry sectors and stakeholders to develop clinical and multi-omics data integration capabilities. Enable new…

Expected Outcome: This action will establish a strategic European initiative to develop scalable, modular, and interoperable photonic quantum computing platforms. Proposals for this topic are expected to address and provide credible solutions to at least two major technical roadblocks currently limiting the advancement of photonic quantum computing such as: The lack of deterministic, high-efficiency photonic entanglement and loss-tolerant architectures suitable for fault-tolerant scaling The absence of a standardised, integrated control stack combining photonic hardware, firmware, and system software with reliable benchmarking across platforms Project results are expected to contribute to the following expected outcomes: By 2028, demonstration of a photonic NISQ processor with ≥100 photonic qubits, integrating deterministic single-photon sources, low-loss waveguides, on-chip detectors, and a firmware stack (scheduler, controller, compiler), validated via hardware-agnostic benchmarks and hybrid photonic-HPC applications demonstrating classical-quantum crossover By 2030, delivery of a full-stack, high-connectivity photonic quantum computer, with modular scalability, integrated…

Expected Outcome: This action will establish a pan-European open-access testing and experimentation infrastructure for quantum technologies, enabling systematic validation and certification of quantum components and systems. Expected outcomes include: Deployment of distributed quantum testing facilities accessible across Europe, including remote access and standardized test protocols. Provision of certification services aligned with future standardisation efforts, ensuring trust, quality, and interoperability of quantum technologies. Support for SMEs, start-ups, and research institutions in validating quantum components and sub-systems. Strengthening of Europe’s competitiveness by ensuring robust quality assurance mechanisms and accelerating the time-to-market of emerging quantum products. Scope: The proposal should implement the testing-related part of the action plan established under the Framework Partnership Agreement for Qu-Test. The action must include: Expansion and interconnection of open-access testing facilities in multiple Member States, covering a range of quantum technologies (e.g., processors, sensors, photonics, control systems). Development and deployment of…

Expected Outcome: This action aims to establish European leadership in neutral-atom quantum simulation and digital quantum computing by delivering: Fully programmable industry-ready quantum simulators based on 10.000 neutral atoms in a scalable architecture, accessible via cloud platforms, and with the possibility of integrating them into high-performance computing environments. Fully programmable platform for neutral-atom quantum computing capable of both analogue quantum operations and gate-based computing with 1.000 physical qubits and a clear path to further scalability to 10.000 physical qubits. Coherence time of the order of hundreds of interaction times and infidelity of operations below 1%. Demonstration of quantum simulation and/or computing operating beyond classical computability, validated through benchmarking with classical methods. New real-world applications across science and industry (at least two) (e.g: in the energy and health sectors) The software stack for these applications, including enhanced software for verification, algorithm implementation, and user programming interfaces. Demonstration of the full quantum stack – including quantum control, electronic…