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Field
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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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of objects for the real-time segmentation of point clouds. Experiencia demostrable en el manejo de técnicas de aprendizaje automático (ML/DL) aplicado a imágenes. / Proven experience in the use of machine
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statistical software (e.g. Stata, R) • Advanced knowledge of statistical and machine learning methods for longitudinal data analysis • Familiarity with complex, longitudinal datasets from survey and register
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aplicadas al procesamiento de imágenes y vídeo / - Application of machine learning/deep learning and image segmentation techniques to image and video processing. - Aplicación de lo anterior a casos de uso en
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aprendizaje máquina/profundo y técnicas de segmentación y seguimiento aplicadas al procesamiento de imágenes y vídeo / - Use segmentation, tracking and machine/deep learning techniques applied to image and
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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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, multisensory integration, or visual perception) using data analysis and machine learning techniques. Implement XR prototypes and applications to validate the developed models. Contribute to the publication
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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