Alternatives to National Trainings on Eurotrace Trade Statistics Processing Software

The Selection of Technical and Vocational Education and Training (TVET) Senior Coordinator

Recruitment of Education and Research Specialist to support the Learning and Evidence Agenda for Regional Collaboration in Eastern and Southern Africa (LEARN-ESA) (P516274)

The selection of Digital Transformation Senior Coordinator

SELECTION OF CONSULTANT FIRMS FOR POST-CONTRACT SERVICES FOR THE CONSTRUCTION OF NEW SCHOOLS, UPGRADE AND REHABILITATION OF EXISTING SCHOOLS

10-National Site Engineers for Construction Supervision

Rehabilitation of Shelters (Public Schools) Batch 5: Lot 1 (Jezzine and Chouf), Lot 2 (West Bekaa, Zahle and Rashaya) and Lot 3 (Saida and Hasbaya)

Facilitator to lead in-country training and support to develop bankable project proposals for mobilising resources for Climate and Disaster risk financing

Recruitment of Education and Research Specialist to support the Learning and Evidence Agenda for Regional Collaboration in Eastern and Southern Africa (LEARN-ESA) (P516274)

National Trainings on STATA Package for Collection and Processing of Census and Surveys Data.

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: Projects under this topic will contribute to the following outcomes: Accelerate market expansion for European deep tech startups across EU regions and beyond by fostering collaboration and mutual support among European deep tech startup ecosystem actors; Interconnect top-tier tech startup and scaleup hubs embedded in research, technology and higher education ecosystems; Enable cross-border access to infrastructures, facilities, corporates, investors and talents to deep tech startups and scaleups, including those funded by the European Innovation Council (EIC); Enable more European deep tech startups, including women-led startups and scaleups, to succeed scaling into globally competitive companies; Strengthen less-connected innovation hubs by integrating them into a Europe-wide collaborative network; Boost private and public investment in deep tech ventures established within the participating innovation hubs. Scope: This action builds upon the EU’s strategic vision outlined in the EU Competitiveness Compass [1] , the EIC scaling strategy [2] , and the EU Startup and Scaleup Strategy [3] . It aligns with the objectives of strengthening Europe’s deep tech…

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Police Authorities in Europe are empowered with modern, accessible and validated tools, methodologies and training curricula to anticipate and cope with the misuse of new and emerging technologies for criminal purposes, with the aim to facilitate prevention, detection, efficient data access and investigation of criminal offences in a lawful manner and with full respect of fundamental rights, including the right to protection of personal data and to privacy; Reinforced interdisciplinary collaboration at the European level through the establishment of partnerships among technologists, policymakers and Police Authorities, resulting in a holistic understanding of the challenges posed by emerging technologies and in sharing of best practices; Clear guidelines and frameworks are created, including on procedures and rules, that ensure lawful access to data, balancing the needs of security with respect for privacy and that foster a European approach to the related challenges for the police and the judiciary. Scope: New and emerging technologies (e.g., new communication technologies,…