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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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Engineering, or a related field with a strong academic background in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above
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of coverage metrics. Some other tasks: Preparing technical reports and scientific publications. Traveling to hospitals to acquire medical endoscopy video sequences. Traveling to attend conferences, consortium
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Skills/Qualifications A Bachelor Degree or an equivalent in Computer Science, Telecommunication Engineering, or a related field with a strong academic background in Machine learning, Natural
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signals obtained from healthy participants and patients. Where to apply Website https://sede.unizar.es/?app=touz&opcion=mostrar&id=76878 Requirements Research FieldEngineering » Biomedical
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, molecular and outcome data available (e.g., survival, cancer recurrence, response to treatment, etc.). BENEFITS: We expect this framework to learn, discover and deliver novel biomarkers that can improve the
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learning. LanguagesENGLISHLevelExcellent Additional Information Eligibility criteria https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion Se aplican las pautas establecidas en el proceso de selección del
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Entrepreneurship. The role is situated within an applied research and innovation context in education, combining program design, instructional innovation, and experimental learning methodologies. The successful
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and error quantification of models reduced-order models (ROMs) based on Machine Learning (ML) with applications to aircraft design. - Software development. - Writing of technical reports and/or
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in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged to apply. High proficiency in