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LevelBachelor Degree or equivalent Skills/Qualifications Experiencia investigadora. Colaboración grupos 5%, Publicaciones 5%. Conocimientos en análisis de datos o Machine Learning. 10%. Experiencia C++/Python 10
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: Algorithm. Software architecture. Machine learning. Professional Experience: In programming and/or research, image processing, machine learning. In topics of machine learning applied to wireless
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specifically in Biotechnology or degrees directly related to biomedicine. (MECES Level 2). Specific Requirements Professional experience in Machine Learning, accredited through a certificate of services and
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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international
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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es
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selection process for an indefinite employment contract within the framework of a Line of Research: R&D line: Machine Learning Applications https://www.upv.es/entidades/SRH/conypi/A1271105.pdf Where to apply
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or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
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Conocimientos de programación de nivel medio a avanzado (lenguaje preferido: Java). Conocimientos básicos sobre machine learning. Capacidad para redactar artículos científicos de alta calidad (por ejemplo, tesis
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in resulting companies, etc. The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications
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research databases (0 to 10 points). ▫ Use of Machine Learning and Big Data for biomedical research (0 to 5 points). ▫ English language proficiency (0 to 10 points). Specific Requirements Required