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algorithm. Basic principles of mathematical optimization. Fundamentals of machine learning and deep learning. It will be assessed: Have completed or are currently completing a degree in Data Science and
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Recruitment Objective Lead and support the CAMPS project for advanced spatial data production and analysis, with a focus on satellite imagery remote sensing, machine learning-based urban and architectural
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disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”. Reference: I-PI 10-26 Pursuant to the provisions on the regulations governing calls for applications
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demonstrate, or undertake to acquire, within a period not exceeding one year, a correct knowledge of two official languages in Catalonia • Intermediate level of English • Intermediate level of office tools
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health and risk of disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”. 1.2. Units in charge of the lines of research (in the order in which the respective
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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation
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Autónoma de Madrid, and funded by the Community of Madrid. Among the tasks to perform are: Management and preprocessing of audio databases. Design, implementation, and testing of deep learning algorithms
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innovative research in three major categories: AI Fundamentals: machine learning, deep learning, data science; AI Core Applications: computer vision, natural language processing, speech processing, robot
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collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Team Worker Initiative in Research and
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LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Simulation and modeling tools for engineering systems. Machine learning and deep learning frameworks: TensorFlow, PyTorch. Version