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: Apply "machine learning" techniques. Perform statistical analysis of clinical data of critically ill patients. Validate the model with experimental data. Support in the preparation of reports and
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databases containing spectral, chemical, mineralogical, and cartographic data of lunar samples. The role involves using Geographic Information Systems (GIS) such as QGIS and applying machine learning
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recruiting excellent candidates in the areas of Machine Learning, including Formal Reasoning About ML Systems, Explainable AI, Data Analysis at Large Scale, etc.; Privacy; Quantum Computing; Software
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experience, adequacy to the proposed profile (0-50 points): Strong background in wireless communications, mathematics, and machine learning, programming skills. Other merits (0-20 points): Fluent oral and
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person will work within the Information & Computing Lab (I&CLab) research group in the design of contents, materials and activities focused on machine learning, artificial intelligence and IoT
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development of prompt engineering, machine learning, and NLP techniques to process data and build this model, adding feedback based on the results. The selected candidate must live in Madrid during the period
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interpretable machine learning, System integration implementation, Test environment configuration, Validation and stress testing, Deployment and configuration in test environments, Component restructuring, review
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experience on wireless communication networks demonstrators, as well as cutting-edge knowledge on machine learning/AI-related techniques for PHY layer communication systems. For more information about the WAVE
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of research staff (contract type: open-ended contract; job category: assistant researcher) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals
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, and WINC projects, focusing on quantum error correction, quantum machine learning algorithms, and other related topics, as well as contribute to research efforts in other CBA-N3Cat group projects