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. Preference is given to candidates who already have knowledge of programming languages such as Java and JavaScript, with particular emphasis on technologies like Spring, VueJS, or NodeJS. Contest Procedure
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refine, formalize, and extend an existing perturbation methodology to construct a principled, security-aware dataset of real-world vulnerable and secure JavaScript code. The work plan includes: 1
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JavaScript code using contrastive learning with a tailored security-aware loss function. The student will fine-tune selected models using secure-insecure code pairs derived from Tasks 1 and 2 and evaluate
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Tecnologia, I.P. in force (https://former.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019DR.pdf ) Where to apply E-mail a.rodrigues@fct.unl.pt Requirements Research FieldComputer science » Systems
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Reference Number AE2026-0057 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0057.pdf CALL FOR
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of Large Language Models (LLMs) in distinguishing secure from insecure JavaScript code. The student will design and implement a systematic evaluation pipeline to assess model behavior under perturbation
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insecure JavaScript code from open-source repositories. Identify and label security-related commits using diff-based analysis. Integrate synthetic data generation (e.g., AST-based vulnerability injection
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Reference Number AE2026-0036 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0036.pdf CALL FOR