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. Enrollment in MSc in Informatics or in Computer Science and Engineering, or a non-degree course developed in association or cooperation between a higher education institution and one or multiple R&D units
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simulations with varying load levels and anomaly intensities. This dataset will be used to train and validate multiple artificial neural network architectures based on Multi-Layer Perceptrons (MLPs
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objectives to be achieved: The scientific work to be developed consists of: Software Architecture and Operations (MLOps)Investigate strategies to coordinate multiple specialized language models (core LLMs
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. 5) Testing: Rigorous validation of simulation models and the effectiveness of suggested strategies through multiple race scenarios. Optimisation of algorithms based on the results obtained and
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. Enrollment in PhD in Informatics, or a non-degree course developed in association or cooperation between a High Education Institution and one or multiple research units. Work plan: Develop and evaluate a
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alongside other team members, and measuring light and noise pollution using multiple instruments and sensors, along with GIS techniques. The fellow will model the response of species and functional groups
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, poses and movement. The extended video capture period contributes to the robustness of the data by including multiple patients, healthcare professionals, and clinical interventions. Data collection and
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of recommendation algorithms based on multiple data related to microorganisms and pathogens, and the implementation of the recommendation system on a testable platform. The work also includes the writing of technical
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of climate parameters on zootechnical indices (productivity, feed type, feed basket, animal genetics) and incorporates these findings into the climate module of the FRIDA model, considering multiple
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to coordinate multiple specialized models (core LLMs, retrieval models, pedagogical agents, UX evaluators) in a distributed architecture. Decomposition and Chaining of Pedagogical Tasks:Design computational