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- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- IRTA
- Agencia Estatal Consejo Superior de Investigaciones Científicas
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- ICN2
- Polytechnic University of Catalonia
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSIDAD PUBLICA DE NAVARRA
- Universidad Nebrija
- Universitat Politecnica de Valencia
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Field
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biomedical signal processing and artificial intelligence applied to cardiovascular health, with extensive collaboration with hospitals and international research partners. Selection process Interested
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with a strong interest in fieldwork, modelling, and collaborative science Where to apply Website https://engeomodels.upc.edu/en/news/news-sample Requirements Research FieldGeosciencesEducation
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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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. The researcher cannot already be in possession of a doctoral degree. Desirable skills: Previous experience in participating in research projects (e.g., data collection, analysis). Experience with EEG data
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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of microscopy acquisition protocols, contributing to the development of high-throughput platforms combining electron microscopy and artificial intelligence. PeCATHS is committed to develop an integrated long-term
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in the adaptation and improvement of the algorithms required for the aggregation and provision of flexibility to the grid, the optimized management of an energy community, and the intelligent operation
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to balance work, family, and personal life, and promote gender equality, as established in the VHIO collective agreement. 🗺️24 days of holidays and 6 personal days. 🎓Fully subsidized Catalan, Spanish
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batteries. Design and implement optimization algorithms for the management of shared or collective storage systems. Contribute to the design and validation of new business models for distributed storage
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GHG emissions. Lab measurements of soil C and soil aggregates and microbial community assessment, including bioinformatics. To perform literature review, data collection and management, involving