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Development and Operations Phase (IV023”, funded by EUMETSAT, a Agência Europeia para a Exploração de Satélites Meteorológicos, under the following conditions: Scientific Area: Geosciences Admission
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, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
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developed involves continuous analysis of the state of the art, the definition and specification of technical and functional requirements, as well as the design of data models, synchronisation algorithms and
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tools and their integration into the matRad treatment planning system; 3) development of tools that automatically identify for each patient the dose-response models that characterize the worst-case
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his/her scientific training. In particular, it is intended to develop and apply remote sensing methodologies and tools for the detection and modelling of habitats, as well as the extraction
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capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources
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the interrelationship between different variables (flow, water quality, and activities associated with operation); Model water supply systems using specific software; Develop an algorithm for interaction with the APIs