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26 Mar 2026 Job Information Organisation/Company Universitat Internacional de Catalunya Research Field Computer science » Programming Mathematics » Algorithms Researcher Profile Recognised
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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the development of methods and models refinements, analyses, and optimizations for scale-grid TES integration and operation planning algorithm. RESTORATIVE consists of 17 PhD students at 7 universities and 4
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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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. 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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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
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group of the University of A Coruña. The hired person must collaborate in the application of techniques based on computational grammars to the development of green natural language processing algorithms
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to the indicated line of research, as well as the design, implementation, and validation of algorithms to solve them. Collaborator on activities related to the project/agreement stated. JOB LOCATION AND SCHEDULE
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
, development, and training of machine learning and deep learning algorithms. Creation of accurate, robust, and energy-efficient models. Development of systems capable of predicting and making decisions in real