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related fields. Proven expertise in knowledge knowledge graphs (KGs), demonstrated by the successful completion of detailing the curricular units in the area. Additional optional skills and qualifications
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. This scholarship aims to support PhD-level studies on FAE by exploiting a new methodology that combines deep learning technology and knowledge graphs. The goal is to research and develop a new Decision Support
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developing synthetic datasets using simulation environments. Familiarity with the theory and implementation of diffusion models and GANNs applied to the same context. Minimum requirements: • Knowledge
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the following mandatory requirements: a) A completed degree in Chemical and Biological Engineering; b) Good knowledge in the areas of Machine Learning, Microbiology, Knowledge Graphs, and Language
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stability, enabling rigorous theory - experiment band assignment. V - Initial grant duration: 12 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I
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the results in light of the literature and social practice theory Contribute to the preparation of the final scientific article or report Legislation and regulations: Law Nº. 40/2004, of 18th August, in its
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. Experience in video editing and multimedia content creation. Knowledge of design trends and visual identity. Knowledge of typography, composition, colour theory, and branding. Knowledge of UI/UX
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digital field. Experience in video editing and multimedia content creation. Knowledge of design trends and visual identity. Knowledge of typography, composition, colour theory, and branding. Knowledge of UI