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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability
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applied to healthcare; • To explore approaches suitable for analysing incomplete and/or distributed data, using techniques such as imputation or federated learning; • To adopt good research and development
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Explore machine learning approaches for discovering interpretable and clinically relevant visual representations.; • Validate the proposed methodologies
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/uploads/2026/01/RBi_Republicado_2025.pdf The applicants are required to have proficiency in Portuguese and English, both written and spoken, as well as being enthusiastic, proactive, collaborative and able