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de métodos de machine learning explicables. ----------------------------- Design, development, implementation and testing of explainable machine learning methods Where to apply E-mail j.parras@upm.es
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models (ROMs) based on Machine Learning (ML) with applications to aircraft design. - Validation and error quantification of models. - Software development. - Writing of technical reports and/or scientific
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Doctoral Network, we invite applications for up to two PhD positions working on challenging theoretical and practical problems in Safe Machine Learning. Specifically, we are looking for students to tackle
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28 Feb 2025 Job Information Organisation/Company Universidad Carlos III de Madrid Department Thermal and Fluids Engineering Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Spain Application Deadline 7 Mar...
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of experimental data. · Definition, adjustment, and analysis of models (heuristic and machine learning-based) for estimation and classification. · Creation and management of computer devices, computer tools, and
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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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Requirements: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto_Script, Machine and Deep learning and computer vision. To have
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neurológicos; Cribado y evaluación del párkinson; Machine learning confiable y robusto; intepretabilidad y equidad de la inteligenica artificial; Procesado de señal. Señal radar
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tools such as AiiDa and ASE. Develop machine learning strategy to infer the multilayer properties from its contituents. Develop and implement artificial-intelligence-based electronic models