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Field
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. Specifically, its activities will be developed in the following areas: - Design and creation of technical content and audiovisual material about IA algorithm, machine learning techniques and IoT. - Support to
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. Development and experimental validation of control algorithms in a laboratory environment. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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Objective - To design and develop reconfigurable Battery Management Systems (BMS) for electric vehicles, with a focus on innovation, efficiency, and adaptability to evolving technological requirements
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algorithms to develop intelligent resource detection models. This position is funded under the HUNOSA-25-2 project and offers a unique opportunity to contribute to cutting-edge research in planetary science
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on USRPs to test AI-based communication algorithms under realistic channel conditions. The offered position is an excellent opportunity to further develop the candidate’s SDR skills, acquire state-of-the-art
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
distinction for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering
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a unique opportunity to contribute to cutting-edge research dissecting how cancer cells interact with their microenvironment in response to therapeutic intervention. Our research team develops and
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. Furthermore, he/she will participate in the development of computer vision algorithms for hyperspectral image analysis and mathematical models for knowledge inference, with the aim of estimating the key
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HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both
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, and Lifelines. Groups of patients with different prognoses will be identified through unsupervised clustering using algorithms such as K-means and NMF. To evaluate the tumor microenvironment, tools