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. Assisting in the research and implementation of AI agent-based approaches for automated ontology alignment and semantic integration across distributed systems. Participating in the design and validation
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in dynamic environments. The role will involve the design and analysis of control algorithms based on mathematical and optimisation tools, their implementation in Python, validation through simulations
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and
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-resilient, high-yielding and nutritionally enhanced crops, while enabling the innovative plant-based production of non-native highvalue biomolecules (e.g., growth factors for biomedical and food applications
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research activities involving: Chemical, biochemical, histochemical and immunohistochemical analyses. Microbiological and molecular analyses for the diagnosis of infectious agents. Parasitological
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all tasks within work package "WP1. ASP Foundations and Extensions", which is the project's main fundamental part and encompasses activities T1.1 (Equilibrium Logic), T1.2 (Temporal ASP) and T1.3 (Agent