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Field
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Description Distribution estimation algorithms for abductive inference (total or partial) in dynamic domains. Structural learning of dynamic Bayesian networks with discrete and continuous variables (parametric
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Development, implementation and experimentation of distribution estimation algorithms in dynamic optimization problems. Where to apply E-mail lauragveiga@fi.upm.es Requirements Research FieldComputer science
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/Qualifications Experience in: - Development of artificial intelligent algorithms. - Explanaible artificial intelligence - LLM experience - Virtual intelligence entities using reinforced learning
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quality, bandwidth efficiency, and power allocation Ground Station equipment: Knowledge in satellite ground station equipment, including modems, antennas, RF systems, and baseband units. Network Security
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similar / - Graduate in industrial engineering or similar - Conocimiento de algoritmos de inteligencia artificial /Knowledge of artificial intelligence algorithms - Dominio de Redes Neuronales
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----------------- - Development of automatic classification algorithms. - Data quality analysis. - Development of Fourier and wavelet analysis algorithms for time series analysis. Where to apply E-mail juancarlos.losada@upm.es
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in medical image analysis. The ideal profile should demonstrate experience in developing deep learning algorithms applied to radiological imaging, particularly in breast and thoracic domains. Knowledge
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title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
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title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
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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