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& Interoperability – and more specifically, in the following tasks: Task 4.1: Ontology Definition, Alignment and Formalization (CIDOC-CRM & INSPIRE), focusing on the design and extension of the MNEME semantic model
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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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the following work packages: WP2: Urban Digital Twin, Data Services and Security and, more specifically, in the following task: Task 2.1: Common Information Models and Urban Data Spaces The task focuses
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integrated modelling. The key role of the candidate focusses on investigating and implementing neuromorphic algorithms algorithms to dedicated photonic reconfigurable systems. Job is in the context of EU
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) for transforming a decommissioned lignite-fired power plant and an abandoned mine into a Large-Scale Long-Duration Energy Storage (LDES) facility. Initially, existing mathematical and simulation models
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on validating the holistic methodology for transforming decommissioned power plants and mining sites into high-capacity energy storage solutions. Specifically, comprehensive simulations of the storage models and
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vehicular communication and perception performance. The methodological focus will be on simulation-based evaluation, analytical modelling, and synthetic data generation. Radar and other sensing modalities
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the crustacean model Parhyale hawaiensis. About the lab: The Developmental Morphogenesis Lab at IMBB-FORTH in Crete Greece studies the origin of biological form during animal development and evolution. Our
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systems and government agencies. The most recent work includes specific applications: Business Process Modeling and Automation, Service Systems Modeling and Engineering, e-Identity and Privacy Management