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- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
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- UNIVERSIDAD POLITECNICA DE MADRID
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development 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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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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established). Strong motivation for science, with a genuine interest in problem-solving, a commitment to contributing to society, and a willingness to continuously learn and develop new skills. What will you do
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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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learnINg for LArge scaLe InTerconnected sYstems) focused on "Fairness in flow allocation: an optimal transport approach". The FINALITY DN advances the theoretical computer science curriculum focusing
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week industry visit. - The Chancellor Masters and Scholars of The University of Cambridge (UCAM), 1 month, learning different culture models. - Universitá degli Studi di Torino (UNITO), 1 month
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of records for the master and bachelor degrees Two letters of recommendation (submitted by the referees no later than the application deadline) Learn more about the BCBL’s OTM-R policy Additional comments
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(submitted by the referees no later than the application deadline) Learn more about the BCBL’s OTM-R policy Additional comments Application process timetable: Deadline for application: 1st of November 2025
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, multisignal patches and wireless devices. Design and development of algorithms for multimodal biomedical signals based on Personalized Models, Deep Learning and Explainable AI. Applications to respiratory