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Field
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-oficial IN SPANISH Where to apply Website https://sede.urjc.es/web/guest/convocatorias Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Skills
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flexible fitting of mechanistic and statistical models to the data. Our current focus is on generating datasets of sufficient size and diversity to train machine learning models to accurately predict how
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31 Jul 2026 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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related to staff position within a Research Infrastructure? No Offer Description Offer description: Are you interested in exploring cutting-edge research in Computer Vision and Machine Learning and the
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methods for uncertain data, including variational autoencoders for the generation of coherent surrogate datasets with incomplete or imprecise information. Implementation of similarity-based learning and one
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of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA
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biomechanical signals (e.g., EEG, EMG, ECG, eye tracking, inertial sensors). Programming skills in Python and/or MATLAB; familiarity with machine learning frameworks. Experience in sensor integration, real-time
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Robotics and Biomimetic Robots Personal Assistive Robotics and Human-Robot Interaction Robotic Manipulation and Grasping Robot Learning, Embodied AI, and Swarm Intelligence Robotic Arts Faculty Positions in
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications - Inteligencia Artificial y Aprendizaje Automático: Conocimientos en modelos de IA, Machine Learning y Deep Learning. Se valorarán muy
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will include implementation and optimization of machine learning models, biomedical signal processing, software integration, support for mobile application development and experimental validation