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- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
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that will enable optimal planning of the operation of a hydrogen fuel cell and its converter, taking into account electrical demand, energy prices, and system status, in order to maximize the efficiency and
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CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 109772 Research on understanding and optimization techniques for transformer models, with
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Description Industrial PhD: Application of artificial intelligence and data analytics to the optimization of industrial processes Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements
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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 to explore and validate
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are currently seeking a PhD Candidate to join our Animal Health Program team located in Bellaterra (Cerdanyola del Vallès), offering a great opportunity to work in a dynamic and collaborative environment within
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, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education
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contract to develop a doctoral thesis on the data-driven design of polymer hydrogels for applications in health and sustainability, within the frame- work of the Coordinated Project DIGIMATER-CM. The project
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Candidate to join our Food Quality and Technology Program team located in Monells, offering a great opportunity to work in a dynamic and collaborative environment within our organization. We invite
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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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learnINg for LArge scaLe InTerconnected sYstems) focused on "Fairness in flow allocation: an optimal transport approach". The FINALITY DN advances the theoretical computer science curriculum focusing