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Field
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). The project focuses on next-generation AI-native cellular systems and aims to develop distributed learning methods for real-time handover optimization at the network edge. The selected researcher will
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performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
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Research assistant in the field of Reinforcement Learning Theory. Department of Economics and Business. University Pompeu Fabra (Ref. ECON-PSR-INDF-2026-09) Tasks to be performed Contribute to the «SCALER
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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The UOC (Universitat Oberta de Catalunya) is an innovative university that is rooted in Catalonia and open to the world. It offers people lifelong learning to help them and society advance, while
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academic quality. Promote improvement and innovation of the TFM model, incorporating trends such as educational AI, learning analytics, digital assessment, and hybrid learning. Where to apply E-mail
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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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The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide
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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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and Artificial Intelligence (CDAI) Support Unit. The successful candidate will be responsible for defining the institute's computational and data-driven strategy, integrating Machine Learning (ML