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related to model identification: structural and practical identifiability, sensitivity analysis, parameter estimation, model-based optimal design, dynamic optimisation and inverse optimal control. We not
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indicators that should be obtained. Extract the most relevant parameters that will later be used as input for the systems to be implemented. 2. Analysis and implementation of web scraping models
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and preparation of reports on the different trials carried out in the group, related to production parameters and crop response to irrigation. Requirements Research FieldAgricultural sciences
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step, the candidate will participate in the optimization of the device parameters (electrode material, geometry, dielectric...) Requirements: PhD level background in physics, chemistry, nanoscience