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: The ideal candidate should have: * Knowledge of machine learning, especially neural networks or graph neural network or federated learning. * Strong mathematical and algorithmic background (optimization
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superstructure combining cycles from the literature and cycles generated by AI models. -- Use of process representation formalisms (graphs, SFILES) and process synthesis tools. - Solving the “Product Design
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students through a Space of Computational Thinking Skills. ICER 2013 67-74. [5] Besta M. et al. (2024). Graph of Thoughts: Solving Elaborate Problems with LLMs. AAAI Conference on AI. [6] Bittencourt, Ig. et
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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3. These activities encompass the formalization of working practices and the creation of data corpora designed to be integrated into federated knowledge graphs. The researcher will work on documenting