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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
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Offer Description Mission: Provide support in the longitudinal acquisition of pediatric polysomnographic (PSG) records and contribute to the development and validation of multichannel algorithms
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optimization methods for implementation within the framework of the objectives of the doctoral thesis, starting with the exploration of methods based on genetic algorithms. Explore the possibilities
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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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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