90 machine-learning "https:" "https:" "https:" "UCL" positions at Universidade de Coimbra
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: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 40%; VII.II- I – In the evaluation of the interview, candidates' performance
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%; - Criterion 2: Scientific dissemination actions – 40%; - Criterion 3: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 20%; VII.II
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- Work Plan / Goals to be achieved: In the first phase, samples will be produced using the WAAM process, which will subsequently be machined to obtain specimens with appropriate dimensions and geometries
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4 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Electrical and Computer Engineering Research Field Engineering » Electrical engineering Engineering
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, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition: President: John Griffith Jones Effective Members: Bruno José Fernandes Oliveira Manadas;Ivan Daniel dos Santos Martins
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laser repair system that integrates corrosion assessment, cleaning, cutting, repair, and painting within a single robotic unit. Using computer vision, machine learning, and predictive models, it enables
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Engineering, University of Coimbra III- Scientific supervision/coordination of the grant: Mahmoud Tavakoli IV - Work Plan / Goals to be achieved: To study and develop methods for fabrication of multi-layer
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available at http://www.fct.pt/logotipos/ and, when applicable, the logos of the European Union and the Operational Program, following the graphic standards available on the websites of the respective
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necessary for the service to be provided outside the usual workplace. Where to apply Website https://app-4.apply.uc.pt Requirements Research FieldOtherEducation LevelPhD or equivalent Additional Information
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: 857524), and the Operational Program of the Centro Region of Portugal (CCDRC Ref: CENTRO-45-2020-75), in the conditions described below. The full text of the Call is available at https://www.uc.pt/mia