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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
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of machine-learning models at catchment to regional scales. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available2Company/InstituteUniversitat Politècnica de
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
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of AI and machine learning techniques, including handwritten text recognition and probabilistic indexing, to improve access to historical sources. Ensuring the archive is sustainable, accessible, and
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positivamentela experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas
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ideas Be able to explain the outcome of research and value thereof to research colleagues Specific Requirements Programming experience and a technical mindset. Engineers, computer scientists, physicists
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of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
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psychology, neuroscience, AI engineering, human-computer interaction, and social science, with lifespan perspectives. Using advanced methodologies like neuroimaging, eye-tracking, virtual reality, and neural
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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with