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- UNIVERSIDAD POLITECNICA DE MADRID
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- ICN2
- Institute for bioengineering of Catalonia, IBEC
- University of A Coruña
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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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-------------------------------- - Implementation of algorithms in embedded processing systems, train integrity algorithms in IoT - Programming of embedded systems and HW implementation for IoT in railway applications Where to apply E-mail
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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 different
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clasificación basados en aprendizaje profundo. Desarrollo de algoritmos de procesado de señal e imagen médica. ------------------- Development of algorithms for classification based on deep learning. Desing and
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the project. Main tasks: Develop and implement optimization algorithms to support daily planning and real-time management modules of EMS software for distributed fuel cell systems.. Support tasks related
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to maximize the flexible capacity that can be offered to local flexibility markets. Support forecasting algorithms for consumption and generation within the energy community. Integrate developments into a
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: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
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: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
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Analytics research group at the Catalonia Institute for Energy Research (IREC) is looking for a senior researcher (R2) to join our team and contribute to the development and integration of advanced algorithms
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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 different
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group