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preclinical models. The work will include: Developing and optimizing radiochemical labelling protocols for nanomotor formulations. Performing quality control, stability, and dosimetry studies of radiolabelled
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FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 116329 Completion of a doctoral thesis on manufacturing process optimization through the implementation of Artificial Intelligence
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knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory
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focus on the operation and optimization of the biological reactor, as well as on drafting technical reports that compile the most relevant results obtained during the project. Functions: Operation
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. Manage tests with clients. Develop other tasks of the GAISSA-Optimizer project as the project evolves and research progresses. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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plasticity. The successful candidate will: Implement and optimize molecular and biochemical approaches to characterize metabolic pathways associated with carbon storage and recycling in photosynthesis. Conduct
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Systems (MAS) theory: cooperation, negotiation, coordination, and competition. - Game theory and reinforcement learning for distributed optimization for agents' properties (e.g., perception, reasoning
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, guiada por las métricas obtenidas / Fine-grained optimization of the accelerators, guided by the extracted metrics Where to apply E-mail joseandres.otero@upm.es Requirements Research FieldTechnology
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: Development and optimization in the acquisition protocol of novel MRI sequences Implementation of the specific analysis pipelines, from quality control to statistical analysis of the measured outcomes Writing
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) for sustainable protein production and functional ingredient development. Design and implement experiments to optimize fermentation processes for the generation of protein-rich chickpea ingredients. Screen