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on visual attention models derived from eye-tracking data, building upon results obtained within the XAVIER project. The research fellow (holding an MSc degree) will be responsible for: Updating and testing
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Python for scientific computing – experience with data analysis and basic signal processing – foundations in machine learning and interest in developing advanced AI models – familiarity with Linux
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), build a set of cross-chain transactions, and compare them against a cross-chain model. The cross-chain model specifies the expected behavior from the protocol. The project will include both
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the following conditions: OBJECTIVES | FUNCTIONS POSITION 1 | Blockchain Interoperability - Governance Protocols in Blockchain Interoperability Mechanisms Develop governance models used in blockchain
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|2025/795 under the scope of the Project Machine Unlearning in Speech Foundation Models: Learning to Forget (LeaF), Refª 2024.14611.CMU , funded Fundação para a Ciência e a Tecnologia, I.P., is now
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approaches for binarized network models, identifying their strengths, limitations, and applicability within privacy-focused machine learning frameworks. Special attention will be given to evaluating
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: OBJECTIVES | FUNCTIONS The candidate will work on the development of novel approaches for clinical natural language processing specifically looking at: (a) the use of language models for coding multilingual
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decision-making framework for forensic experts; (4) *Develop a prototype of a Decision Support System (DSS)*, integrating deep learning-based models with knowledge graphs for dental age assessment, ensuring
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activity since COVID-19 with a focus on descriptive models to capture shifts in blood supply dynamics for new insights, as well as predictive models for context-aware forecasting to guide tactical and
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the following tasks: -Finetunning a Language Model for retrieval of questions related to the Portuguese Consumer Law. -Use of a Large Language Model to generate explanations of Portuguese Consumer Law that best