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the following work packages: WP3: Core Platform Development & Tool Integration – and more specifically, in the following tasks: Task 3.1: Prototype Development of OCRA & VTL: AI Enrichment, 3D Visualisation and
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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proactivity, interoperability and self-development. Based on these requirements, the doctoral candidate will develop a set of adaptation services on the key features of the CPS. To enable the proposed CPS
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databases, supporting the development and application of AI-based data analysis tools, ensuring data quality and interoperability, and assisting in the preparation of technical reports and project
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on contributing to the development of the Common Information Model (CIM) and the specialized Data Space of the pilot cities, in order to ensure the integration and interoperability of the intelligent tools
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: Innovative Tools Development for T&D Grids Reliability and Circularity in Decommissioning and, more specifically, in the following task: Task 3.3: Holistic Methodology for Circular Decommissioning of Abandoned
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to the development of a technology pilot that demonstrates the use of the European Digital Identity Wallet (EUDIW) in Travel and Payment use cases. The selected individual will participate in a project co-funded by
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protein-RNA interaction rules to explore their functions in environmental adaptation and development. The positions are multi-year and funded by the ERC. The Lab studies RNA/protein assemblies
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on novel protein-RNA interaction rules to explore their functions in environmental adaptation and development. These positions are multi-year and funded by the ERC. The Lab studies RNA/protein assemblies