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to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldComputer science » Computer architectureEducation LevelUndergraduate Research
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to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. In
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selection process for an indefinite employment contract within the framework of a Line of Research Research line: Machine learning applications https://www.upv.es/entidades/SRH/conypi/A1268833.pdf Where
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: Ability to work in a team and maintain code cooperatively. Specific Requirements Knowledge: Efficiency and optimization algorithms for multivariable decision making. Statistics. Machine Learning
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the development and/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machine learning methods, in particular for data integration tasks
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: Machine and Deep learning. In health and rehabilitation projects. Experience in functions similar to those described will be valued, specifically in the development of research activities, both in
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measurements. Professional Experience: In health and rehabilitation projects. Classification and models of Artificial Intelligence: Machine and Deep Learning. In recording and signal processing. Experience in
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 2 months ago
). - Artificial intelligence and machine learning. - Advanced programming in Python and use of machine learning/bioinformatics libraries. - Software development and database management. - Ability to work in
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(Machine Learning Force Fields, ML-FF) to simulate gas-phase fragmentation processes via molecular dynamics. Design and maintain a project-focused results database (schema, metadata, upload/retrieval scripts
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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