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the state of the art and designing key scientific and technological enablers of future cellular networks to integrate sensing and communications. To this end, he/she will design new models and algorithms
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processing and network architecture solutions that exploit Integrated Sensing And Communications (ISAC). The candidate will research signal processing and radio resource management algorithms for beyond 5G
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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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, estudio de sistemas ADCS y desarrollo de algoritmia de control de actitud, soporte a ensayos en ADCS test bench/ Mission and orbital analysis, ADCS systems studies, attitude control algorithms, support to
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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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. Bega, M. Gramaglia, S. Geissler, C. Karsai, P. Serrano, “FARO: a scalable and reliable outage detection algorithm for IoT Mobile Virtual Network Aggregators”, ACM CoNEXT 2025 M. Milani, D. Bega, M
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(IQU, Spain) DC2: Design of novel distributed algorithms for CSI estimation (KUL, Belgium) DC3: Synchronization methods for CF networks (KUL, Belgium) DC4: Design of holistic neuromorphic solutions in 6G
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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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. Functions • Develop code and workflows for systems biology and analysis of proteomic and transcriptomic data, supporting researchers. • Develop AI and deep learning algorithms to facilitate image analysis
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METATUNE-MSCA-DN – DC15_Multispectral metalenses for 3D imaging_Photonic Sensors and Algorithms SL_Spain..pdf English (139.17 KB - PDF) Download Additional Information Website for additional job details