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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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fisiología del ejercicio. Será necesario conocimientos de genética, análisis de datos genómicos, asociación de genómica con marcadores bioquímicos y datos de rendimiento deportivo, uso de Machine Learning y
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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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impulsar el conocimiento y la innovación en el ámbito de la inteligencia artificial aplicada. The selected candidate will actively participate in R&D&I projects related to data science, machine learning
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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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architectures based on MLIR / LLVM. - Research on optimization techniques for extracting and mapping data flow graphs on custom archtectures. - Research on custom dialects on MLIR. Where to apply E-mail
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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