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collaborate on the preprocessing, storage, and harmonization of heterogeneous datasets, and will participate in the training, evaluation, and application of machine learning and explainable artificial
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de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research: R&D&i Line: Machine learning for the development of predictive artificial
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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de Barcelona. https://www.ub.edu/escoladoctorat/en/access-and-admission/access-pathwa… ; Specific Requirements Experience in global optimization and machine learning interatomic potentials would be
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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods
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factors, involving the educational environment, learning design, and school culture; Device-specific factors, relating to the types of digital devices and best practices for safe and balanced use
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técnicas de machine learning e IA. Sólidos conocimientos en análisis y tratamiento de datos, programación y desarrollo de modelos analíticos. Experiencia con bases de datos y herramientas de análisis
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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flexible fitting of mechanistic and statistical models to the data. Our current focus is on generating datasets of sufficient size and diversity to train machine learning models to accurately predict how