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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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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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curiosity are expected. Main Responsibilities: Participate in the synthesis and characterization of organic ligands and MOFs. Collaborate with senior researchers on the design and optimization of materials
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the training and optimization of AI/ML models for the physical layer of wireless communications. Generative AI models for wireless channel generation, e.g., generative adversarial networks or diffusion models
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powders of biocompatible superalloys (Cr-Co, Ni, Ti). Optimization of printing, debinding, and sintering parameters to maximize surface quality, dimensional accuracy, and mechanical properties. Development
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be clinically tested in a small animal model. (Ref: PID2022-136961NB-I00)(HR25-00225). Main functions: Design, fabrication, and optimization of liquid-walled pumps (Qpump) capable of achieving
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equipment used to perform in-situ measurements during the development of the test to monitor the behavior of each device, and the optimization of the control software. 2. Analysis of the test results, which
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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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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and