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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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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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Machado; Pedro Manuel Henriques da Cunha Abreu IV - Work Plan / Goals to be achieved: The work plan will be composed by 5 steps: 1-Review and classify techniques used for dataset analysis and curation
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the Portuguese coast and its direct effects on the target species Acacia longifolia (seed dynamics and vegetative growth), as well as any potential direct effects on non-target plant species. Activity 2: Analysis
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processes for the production of organic acids; - Purification and quantification of organic acids by iónica chromatography; - Participation in metal quantification analyses and microbiological analyses
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the Next Generation EU Funds, following NOTICE N.º 02/C05-i01/2022, Component 5 – Capitalization and Business Innovation - Mobilizing Agendas for Business Innovation VI.V - Information and publicity about