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- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
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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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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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seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected
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student will be mainly involved in developing the activities to achieve specific objectives of the project: To develop and optimize respiratory organoids derived from relevant host/reservoir animal species
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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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, 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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foods. Develop food prototypes of dry-cured meat and their plant-based analogues with optimized texture and sensory properties. Perform advanced statistical analysis, mathematical modeling, and interpret
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with companies. GPDS develops different lines of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization
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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