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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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– Evaluation of dyeing performance and analysis of the properties of the dyed fibers. V - Initial grant duration: 6 months V.I - Renewal Possibility: Non-renewable VI - Funding and financial conditions of
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) and perform the subsequent feasibility analysis. e) Contribute to the publication of results in peer-reviewed scientific journals (Q1/Q2) and support dissemination activities at academic conferences. f
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; - in the formulation and functional characterization of products for human and animal welfare; - Life Cycle Analysis; vi) in the writing of technical-scientific documents; - in document management and
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strategies". The work plan includes: -Design and programming of behavioural and MRI experiment as described in the project proposal. -MRI data analysis (at the supervision of senior researcher and technician
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); • Other elements considered relevant. Write the application and all associated documents, including letters of motivation and recommendation, in Portuguese or English. Regarding the aforementioned admission