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Field
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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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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and Prisma stack. Help integrate the application with the Jutge.org public API to synchronize data. Collaborate in the implementation of algorithms for the automatic evaluation of the difficulty
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apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize
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Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those
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men, and with article 61.2. f) of Valencia Government Law 4/2021, of 16 April, of the Valencian Civil Service, it is hereby stated that the percentage distribution in the contractual job vacancies of
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Electrical power systems and distribution network optimization. Machine Learning and Deep Learning applied to electrical systems. Basic quantum
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Offer Description The researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment. These will include neural
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Infrastructure? No Offer Description Mission: Research and develop robotic perception algorithms that allow obtaining a 3D representation of complex environments; monitoring and presentation of results. Functions