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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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/Tabela_valores_SMM_2025.pdf SCIENTIFIC SUPERVISION The activity will be supervised by : Rui Abreu , Full Professor at FEUP and Researcher at INESC ID. Sofia Reis, Invited Professor at FEUP WORKPLACE - INESC ID
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/Tabela_valores_SMM_2025.pdf SCIENTIFIC SUPERVISION The activity will be supervised by : Rui Abreu , Full Professor at FEUP and Researcher at INESC ID. Sofia Reis, Invited Professor at FEUP. WORKPLACE - INESC ID
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/Tabela_valores_SMM_2025.pdf SCIENTIFIC SUPERVISION The activity will be supervised by : Rui Abreu , Full Professor at FEUP and Researcher at INESC ID. Sofia Reis, Invited Professor at FEUP . WORKPLACE - INESC ID
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 14 days ago
supervision: Dr. João Manuel R.S. Tavares. The work will be carried out in INEGI or FEUP facilities in Porto. 4. Academic Qualifications: Master’s degree in Biomedical Engineering, Electrical and Computer
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
the most significant microscopic parameters for the homogenized response Develop and train machine learning models to estimate the homogenized properties from such parameters Document research findings
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data