70 machine-learning "https:" "https:" "https:" "UCL" positions at University of Aveiro
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: familiarization with the workflow platform and machine learning concepts; development of web interfaces for data silo registration and federated training sessions monitoring; implementation of back-end components
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Degree or equivalent Research FieldManagement sciencesEducation LevelBachelor Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant
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Requirements Research FieldEngineering » OtherEducation LevelBachelor Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant-under
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for additional job details https://www.cesam-la.pt/en/calls/research-grant-under-the-project-enable-2/ Work Location(s) Number of offers available1Company/InstituteCESAM - Centre for Environmental and Marine
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or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/postdoctoral-fellowship-under-the-project-reus… Work Location(s) Number of offers available1Company
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Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant-under
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goreti.pereira@ua.pt Requirements Research FieldChemistryEducation LevelBachelor Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant-under
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sciencesEducation LevelMaster Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant/ Work Location(s) Number of offers available1Company
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17 Mar 2026 Job Information Organisation/Company University of Aveiro Department Department of Electronics, Telecommunications and Informatics Research Field Engineering » Computer engineering
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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and