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Job ID: 262701
INESC TEC | Research Grant (AE2025-0422)
INESC TEC
Research Opportunities
Computer Science
Work description
Test GAN models: Compare leading GANs for tabular data, focusing on fairness and attribute consistency. Try LLMs: Use open-source LLMs with prompts adapted for generating tables. Compare quality: Check how well the synthetic data matches real data and supports predictive tasks. Create new metrics: Design metrics that combine statistical similarity with task performance. Publish results: Write and submit a paper to a conference or journal.
Academic Qualifications
BSc in Computer Science, Computer Engineering or similar
Minimum profile required
Enrolled in a Master’s program in the relevant admission area. Knowledge of Machine Learning techniques.
Preference factors
Enrolled in dissertation, project, or another course unit leading to the thesis writing.
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