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manufacturing, health and transportion: Interperability of systems Data Management Big data analytics AI and Machine Learning Experience in the organization of international events such as workshops and
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 16 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not
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, for the period from 2021 -2026. Reference: BI/UTAD/116/2025 Scientific area/research field: Engineering Researcher profile: First Stage Researcher (R1) Admission requirements: Degree in Computer Engineering
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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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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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1
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involvement in system setup, on-site validation, or scientific publications will be highly valued. (40%) Criterion 3. Strong proficiency in Python and machine learning/computer vision libraries (e.g., PyTorch