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Field
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validating the models that will be used in the laboratory's tasks. Knowledge of new machine learning methodologies such as deep learning is required. Previous knowledge in the field of health sciences
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specifically, they will work on the development of machine learning methods for the optimization of wireless communication systems assisted by reconfigurable intelligent surfaces (RIS). Where to apply Website
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expertise in data science, machine/deep learning, biomedical informatics, biomedical ethics, and health-related applications. The research team has an established track record in coordination and
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básicos de Machine Learning. // Basic knowledge of Machine Learning. • Habilidades en Ingeniería de Redes y Computación en la Nube-Edge. // Knowledge of Network Ingenieering and Cloud – Edge computing
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learning and the impact of technology in any discipline or activity. You will work in a dynamic and flexible environment where you can develop professionally by working towards objectives. Responsibilities
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At least 1 year of experience in customer or user support (helpdesk, IT support, or similar) Good computer skills and willingness to learn technical tools (basic SQL, Linux command line, databases
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experience in the healthcare field will be valued, as well as solid knowledge of programming and development in machine learning, artificial intelligence, and data processing from various data sources
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campos de interés. Basic qualifications: Master's degree in Electrical/Electronic/Computer/Telecommunications Engineering, Computer Science, Physics, or a related field. Outstanding undergraduate students
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are looking for a technical profile, with knowledge in computer architecture and experience with the open-source community, interested in exploring the entrepreneurship ecosystem as part of her/his professional
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analysis Good computer skills; familiarity with informatics tools and databases Nice to have Knowledge of human genomic or biomedical data Experience with helpdesk/ticketing systems Languages Excellent