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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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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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algorithms and investigate protests linked to the environmental impact of artificial intelligence and data centres. Contribute to the academic and artistic production of the project by writing articles
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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also apply. Prior experience Particular consideration will be given to candidates with experience developing deep learning algorithms for imageprocessing and analysis. Years of Research ExperienceNone
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optimization methods for implementation within the framework of the objectives of the doctoral thesis, starting with the exploration of methods based on genetic algorithms. Explore the possibilities
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, Rprogramming and developing statistical packages. Specific Requirements Candidates must have proven experience developing and maintaining R packages, solid skills in ML algorithms, and familiarity with
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. Specific Requirements Previous experience in chip design, hardware implementation of complex dynamics and learning algorithms, as well as knowledge of memristors, will be highly valued
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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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is closely involved. Main responsibilities: • Implement and optimise algorithms for data processing, waveform modelling and parameter estimation in line with best practice in software engineering