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Field
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skills in Artificial Intelligence, Evolutionary Computation, and Generative Models Work plan: 1. Review and analysis of the literature on latent space exploration, evolutionary computation applied
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Analysis, enrolled [JB2.1][JB3.1]in a doctoral programme or in a non-degree course. I.II - The non-degree-granting course must be related to the type of activity covered by the grant. Non-degree-granting
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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to develop new knowledge and skills in Artificial Intelligence, Generative Models, and Computational Neuroimaging.. Work plan: 1. Review and analysis of the literature on generative models guided by
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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, traps) to catch fish; (4) Experience in contact with fishermen and sea trips involving monitoring on board commercial fishing vessels; (5) Data analysis with proficiency in R software and geographic
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provided by a certified entity; e) Proficiency in English (B2 - Independent, C1 - Effective proficiency or C2 - Full proficiency), awarded by a certified entity; f) Experience in data analysis. 4. Work
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the award of one Research Grant within the scope of the project POOLWISE – 18327 – Salt Water Pool Optimization with Integrated Sustainable Elements, funded by COMPETE2030-FEDER-01456000, under the following
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literature - Technology analysis - Solution design - Development and testing of the proof of concept - Writing of technical documentation. V - Initial grant duration: 3 months (as long as it does not exceed
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microorganisms work collaboratively and adapt to external changes. Microorganisms can be found across all environments on Earth being a key element to One-health research but also potential manufacturing