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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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animal models by flow cytometry using peripheral blood and tumour tissue. - Integration and analysis of laboratory data, as well as participation in the preparation of scientific reports, communications
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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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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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molecular analysis methodologies. These functions will be fundamental to driving innovation and sustainability in the exploitation of marine resources. I.4. Gross monthly wage: 2.351,53 euros, corresponding