33 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at INESC TEC
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DevOps contexts. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Study of security vulnerabilities associated with GitHub Actions and of state-of-the-art tools for their dynamic analysis
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.; - Develop skills in artificial intelligence and machine learning techniques for analyzing operational data and detecting anomalies, using foundational model approaches (e.g., GridFM project, LF Energy
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the generated data can be used in practice. A new metric to help this comparison is expected to be created. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Test GAN models – Compare leading GANs
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