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requirements: Master’s degree in Physics. The candidate must have previous experience with remote sensing data, burned area mapping algorithms and handling large databases. He must also have solid mathematical
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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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of uncertainties in robust evaluation and optimization algorithms. Legislation framework: Research Fellowship Holder Statute, in accordance with Law 40/2004, of 18 August, in its current version and the FCT
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-inspired selection). 3-Investigate the integration of QIEC with Quality-Diversity (QD) algorithms such as MAP-Elites.(month 2-3) 4-Explore the use of Evolutionary Computation to generate and optimize quantum
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algorithms for Robust Relative Biological Optimization, considering uncertainties in the parameters of dose-response models. Finally, the aim is to o assess the potential of fractionation optimisation in
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quality of water stored therein; b) calibrate and validate models or algorithms based on spectral signatures, associated with in situ validation campaigns; c) extract indicators of spectral signatures
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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
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is required, particularly in the development of digital solutions, data processing and integration, computational modelling, or optimization algorithms. Preference will be given to candidates with