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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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Field
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combine rigorous algorithm design with applied experimentation in realistic mobile-network settings, with a strong emphasis on research excellence, publishable outcomes, and practical relevance for 6G
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of the center's researchers. Integrate precipitation data to support the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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. Integrate precipitation data with collaboration in the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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processing using Artificial Intelligence (AI) algorithms, integrated as an energy-efficient Point-of-Care computing tool. The system will be developed following a co-creation methodology involving key
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for Genomic Regulation (CRG), the Hospital del Mar Medical Research Institute (HMRI), the European Molecular Biology Laboratory (EMBL-Barcelona), the Institute of Evolutionary Biology (IBE, CSIC-UPF), and the
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Infrastructure? No Offer Description Mission: Develop the conversion of an algorithm from the MatLab language to C, a language that has superior performance characteristics to MatLab, and in the expansion
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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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in KIZ, contributing your expertise in evolutionary biology, genetics, molecular and cell biology, ecology, bioinformatics, and/or statistics. Qualifications: Candidates should have a PhD degree in a
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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