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(AutoML) platform to output Machine Learning/Deep Larning models focused on image analysis. In this sense, the focus will be the development of several modules: a module to load, process and store images
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to secretaria.mia@uc.pt . Reference of the expression of interest: MIA-AR-2025-03 Scientific area: Data Science and Machine Learning Work plan/objectives: The “Continuous Learning Lab”, led by Dr José Sousa
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6 Nov 2025 Job Information Organisation/Company Instituto Superior de Engenharia do Porto Department Human Resources Department Research Field Engineering » Computer engineering Researcher Profile
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(No experience, Basic Knowledge, Solid Experience) Technical and Domain Knowledge Industrial Processes & Systems Artificial Intelligence and Machine Learning Cyber-Physical Systems and Sensing Innovation and
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Integrating Rule-based and Machine Learning Approaches (2024.07361.IACDC/2024)/ NOVA.ID.FCT – Associação para a Investigação e Desenvolvimento da FCT funded by Fundação para a Ciência e a Tecnologia, under the
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degree or equivalent qualifications in Engineering Physics. Technical Skills: Programming proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow; Experience
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: Proven experience in Knowledge Extraction from Data (i.e., data analysis, data preprocessing, Machine Learning algorithms); Knowledge in software development using Python; Knowledge in specifying and
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generation methodologies to improve the robustness of Machine Learning (ML) models. Your role: Semantic segmentation and classification by ML: Explore and benchmark state-of-the-art semantic segmentation and
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for this call: a) Applicants must hold a doctoral degree for more than five years in Computer Science, Computer Engineering, or a related field whose specialization is considered appropriate for the subject area
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Science or Computer Engineering or a related area, in a speciality considered appropriate for the scientific area in which the tender has been opened, as foreseen in Article 41-A of the ECDU. i) Holders of a doctoral