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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
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), machine learning algorithms (reinforcement learning), and/or explainability techniques. LanguagesENGLISHLevelGood LanguagesSPANISHLevelGood Additional Information Benefits 1.255 €/monthly gross salary
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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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learning algorithms, and others, as well as related research in other projects of the CBA-N3Cat group. -Direct the writing of articles and possible dissemination activities related to the different quantum
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. Obtain and process satellite image databases at a global level. Programming deep learning and signal processing algorithms and conducting tests. Write and present new project proposals. Organize meetings
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Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient. JOB LOCATION AND SCHEDULE: CITIC. Monday to Friday, from 10:00 a.m. to 2:00
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply. JOB LOCATION AND SCHEDULE
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply JOB LOCATION AND SCHEDULE: CITIC
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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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optimization algorithms to support the deployment of innovative shared energy storage systems within energy communities. The candidate will work within the framework of the Energía del Prat project, which aims
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and the UK. The selected candidate will support the design and implementation of energy management systems (EMS), contribute to daily and real-time operation algorithms, and help define requirements and