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metal deposits preferentially, contrary to what reduction potentials predict. In induced co-deposition, one metal cannot deposit at all under the given conditions unless the other metal is present
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features of tumor arrest from first principles, with the goal of supporting more predictive and sustainable cancer treatment strategies. The objectives of this Ph.D. thesis are twofold: to further develop
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recommendations for the sustainable upkeeping of this type of heritage ensembles in the future. While regularly based in Saragossa University, the PhD candidate will carry out research stays in villages signified
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applies state-of-the-art computational tools to understand and predict the properties of materials at the nanoscale. The position is part of the MAIAMI project - Multimodal Artificial Intelligence Platform
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design and has been predicted to enable a revolutionary class of electronics with functionalities exceeding current semiconductor technology. Conventional electronic devices are based on charge carriers
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methodologies that integrate QML with classical models, seeking to improve computational efficiency (runtime and memory usage) and energy consumption without sacrificing predictive accuracy. Specific practical
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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carried out in a controlled cooling carousel E. Experimental validation of the numerical model of the heat treatment process for controlled air cooling in a carousel F. Generation of a numerical prediction
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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longitudinal study in glioma patients to identify natural speech markers predictive of postoperative prognosis, analyzing functional and structural brain data, and preparing research papers under the supervision