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Field
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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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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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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
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, or related fields. PhD is welcome (plus), but not required. Essential Knowledge and Professional Experience Expertise in machine learning / deep learning applied to biomedical or healthcare data. Strong