14 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs at University of A Coruña in Spain
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) Analyze non linear phenomena regarding material non linearities like creep in the analysis of structures. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/004325 Requirements
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of contents, workflows, and infrastructures of the digital libraries developed within this project and previous ones, which are available in open access through the portal https://www.bidiso.es/. a) General
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will collaborate in R&D tasks in Natural Language Processing (NLP) based on the application of Machine Learning (ML) and Deep Learning (DL) techniques developed in this project, including the generation
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https://sede.udc.gal/services/electronic_board/EXP2026/004166 Requirements Research FieldEngineering » Industrial engineeringEducation LevelBachelor Degree or equivalent Research FieldEngineering
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of the project. 4. Attendance at research team meetings. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/003282 Requirements Research FieldSociologyEducation LevelBachelor Degree
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: Collaborator on activities related to the project stated. JOB LOCATION AND SCHEDULE: CITIC/Faculty of Informatics of UDC. Monday to Friday 9-14h and 15:30-17:30h The Computer Architecture Group (https
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of the Universidade da Coruña during the working day, as well as in the Laboratory of Roads and Geotechnics of the CITEEC. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/003811
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for instructions on how to apply to this call. Work Location(s) Number of offers available1Company/InstituteFaculty of Computer ScienceCountrySpainGeofield Contact State/Province A Coruña City A Coruña Website https
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15 Jan 2026 Job Information Organisation/Company University of A Coruña Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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subgroups of patients. • Drug repurpusing through artificial intelligence techniques based on the aforementioned data. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/003883