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Field
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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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function. Strong organizational and communication skills. Ability to work both independently and collaboratively. Motivation to learn new experimental approaches and progressively develop an independent
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informes técnicos. _______________________ Demonstrable proficiency in Python programming, ontologies, machine learning, and artificial intelligence. The candidate’s public software repositories must be
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candidate will contribute to the development of a cutting-edge, AI-enhanced learning ecosystem and collaborate closely with academic faculty and industry stakeholders. Key Responsibilities Contribute
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contract; job category: pre-doctoral researcher) to collaborate on the project “Robotics for sustainable manipulation and monitoring of ecosystems” of the University Institute for Computer Research
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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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methods for uncertain data, including variational autoencoders for the generation of coherent surrogate datasets with incomplete or imprecise information. Implementation of similarity-based learning and one
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in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged to apply. High proficiency in
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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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collaborative research activities, and develop the skills and experience required for the next stage of your research career. Main responsibilities and duties: Develop and complete a doctoral research project and