35 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Undergraduate positions in Portugal
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platform. Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission
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» Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 13 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal
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27 Feb 2026 Job Information Organisation/Company Instituto Politécnico do Cávado e do Ave Research Field Engineering » Electronic engineering Engineering » Computer engineering Engineering
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/2013, of 9 July and by Decree-Law no. 233/2012, of 29 October (available at https://dre.pt/dre/legislacao-consolidada/lei/2004-58216179 ) 6. Place of work: The work will be carried out at the Nova School
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. Maintenance allowance amount: The grant stipend amounts to 1040,98€ according to the table of values of the grants awarded directly by FCT, I.P. in the Country (https://www.fct.pt/apoios/bolsas/valores
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(https://www.fct.pt/apoios/bolsas/valores ). The payment will be made by bank transfer. Voluntary Social Insurance: As long as the grant lasts 6 months or more, and in compliance with the provisions
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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full text is available at: https://dre.pt/application/conteudo/127238533 ; and in accordance with the consolidated version with the changes resulting from the update, approved on December 10, 2025
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, of August 16, 2018. For getting more information about this, we suggest consulting the DGES portal (http://www.dges.gov.pt ). It may be waived to present it during the application phase for the support in
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degree classification (20%); Proven experience in programming for Machine Learning in Python (20%); Proven experience in training and testing large language models in high-performance computing