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and fine-tuning large language models. Experience with empirical evaluation and experimental reproducibility – 10% Demonstrated ability to design controlled experiments, evaluate models rigorously
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using curated secure–insecure code pairs. Integrate adaptive feedback mechanisms based on misclassification analysis. Ensure reproducibility and version control of model updates. Security-Aware Code
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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 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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: OBJECTIVES | FUNCTIONS Design the control of the OTP (One Time Programmable) memory: - Control logic must be able to write the OTP memory - Control logic must be able to read OTP memory and write its contend
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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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conditions: OBJECTIVES | FUNCTIONS Design the control of the OTP (One Time Programmable) memory: - Control logic must be able to write the OTP memory - Control logic must be able to read OTP memory and write
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conditions: OBJECTIVES | FUNCTIONS Instrument Driver Development: Development of custom drivers to interface benchtop test equipment with an automated control ecosystem. Responsibilities include
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models (LLMs) to perform complex reasoning. In fact, such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain-of-thought (CoT) prompting, where a few
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study its impact on the degree of collaboration in hybrid teams. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and