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| FUNCTIONS The assignee of this research will investigate the design and implementation of a novel software platform aimed at estimating the expected computational costs of deploying different AI models
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on the use of exact features. In more detail, the work will explore and quantify the trade-offs that emerge both for what concern the quality of the resulting AI model as well as the costs' reduction
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for students with MSc degree with reference number BI|2026/881 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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for students with BSc degree with reference number BI|2026/880 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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for students with BSc degree with reference number BI|2026/882 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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develop a model for the analysis of the bridging between critical communications with railway communications in 5G networks by analysing the commonalities and the differences. The workplan should develop as
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for students with MSc degree with reference number BI|2026/879 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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for Responsible AI – Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 26-Feb to 12-March
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economic incentives for providers to deliver consistent, high-quality services. The system integrates attestation protocols and a stake-weighted reputation model that dynamically reflects verified
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– Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 13 to 26 February 2026 WHO WE