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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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Field
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Offer Description Mission: Provide support in the longitudinal acquisition of pediatric polysomnographic (PSG) records and contribute to the development and validation of multichannel algorithms
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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group is searching for a Research scientist position focused on iterative phase reconstruction algorithms and analysis of time-resolved coherent diffractive imaging datasets. Job description We
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of fully autonomous navigation systems. Main responsibilities Develop and optimize autonomous navigation algorithms for outdoor mobile robots. Integrate and fuse data from perceptual sensors (LiDAR, RGB
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of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01/05/2024 END: 31/03/2027 Centre
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Job related to staff position within a Research Infrastructure? No Offer Description Mission: Cooperate in the development of an educational application with models and techniques for massive data
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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Engineering. Information Technology. Highly valued: Expertise in Python, ROS environment, and vision and artificial intelligence algorithms. High level of English is a must. Where to apply Website https
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in medical image analysis. The ideal profile should demonstrate experience in developing deep learning algorithms applied to radiological imaging, particularly in breast and thoracic domains. Knowledge
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apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize