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. This work seeks to develop and apply novel technologies based on compact data structures for handling, among other, genomic datasets in large-scale comparative genomic analyses. Compact data structures
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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, for the development of the CITMAga´s Scientific Agenda. In the Research and Transfer Area “Industrial Competitiveness” within the research program “Efficient production and management” and in the research line
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models and reconstruction algorithms. Develop or adapt scripts (e.g. in MATLAB, Python) to facilitate data analysis workflows. Prepare scientific reports, publications and presentations to disseminate
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: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
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: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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algorithms and investigate protests linked to the environmental impact of artificial intelligence and data centres. Contribute to the academic and artistic production of the project by writing articles
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technical support with mathematical modelling, data analysis and scientific software development for tasks related to the design, location and management of marine protected areas (MPAs) in the Mediterranean
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, CU/DU/RU split). - AI/ML algorithms and methods for joint compute and radio resource management at the 6G edge leveraging accelerators - Control- and data-plane separation, real-time scheduling, and