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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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efficiency of the ecosystem’s practical performance. Maintenance and continuous improvement of analytical models based on evaluation results and the needs of participating stakeholders. Administrative work
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tuberculosis using in vitro and in vivo mouse models. Performs experiments that include genetic, biochemical, cellular and molecular approaches, as well as metabolomics, epigenetics and high throughput
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(R1) Admission requirements: 1 - Bachelor's degree in Computer Engineering or similar areas* 2 - Experience in the use of Large Language Models (LLMs) and multi-agent platforms for the creation
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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; The prototype will analyze the student's interactions with the study material and based on this analysis, the agent can, for example, present the same information in different formats, or adjust the level of
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accredited by the Carlos III Health Institute and as such an agent of the National Science and Technology System. It is part of the public sector of the Generalitat Valenciana, has private legal personality
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about deep learning, generative AI, agents? We
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models (e.g. agent-based, network-based, or hybrid) to study the dynamics of complex AI-driven systems; Conducting simulations and scenario analyses to explore non-linear effects, feedback loops, and phase
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the ambition of developing innovative platforms incorporating therapeutic agents (e.g., nucleic acids, small molecules, peptides), involving mRNA for gene therapy. In the context of this project, the group