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engineering projects is increasingly complex, particularly when balancing human expertise and Large Language Models as collaborative agents. This project aims to propose a reputation-based agentic Artificial
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Tecnologia (RBI No. 950/2019)*; Proficient command of the Portuguese language. * mandatory requirement Work plan: The candidate will carry out R&D activities within the scope of the ReNUT project, namely
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Instituto Superior de Contabilidade e Administração do Porto do Politécnico do Porto | Portugal | 10 days ago
, proactivity, responsibility and ability to work in a team; d) Proficiency in English as a working and communication language; e) Mastery of quantitative and qualitative research methodologies; f) Knowledge in
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documents must be submitted in Portuguese and/or English. When the originals are in another language, a translation into one of these languages must be provided. VIII.IV - Applications that are not properly
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the candidate considers relevant. VIII.III - All application documents must be submitted in Portuguese and/or English. When the originals are in another language, a translation into one of these languages must be
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: • Holder of a Master’s degree in Computer Science, Big Data, Mathematics or related fields*; • Enrolment in a non-degree awarding course*; • Experience with Large Language Models applied to the space domain
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language, a translation into one of these languages must be provided. VIII.IV - Applications that are not properly completed or do not meet the admission criteria defined in the applicable legislation and
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, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological convictions and union membership. Where to apply Website https://www.campus.utad.pt/bolsasinvestigacao/lista
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English. When the originals are in another language, a translation into one of these languages must be provided. VIII.IV - Applications that are not properly completed or do not meet the admission criteria
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. OBJECTIVES: To develop and validate novel algorithms for the detection of cardiovascular findings in chest computed tomography images and reports based on vision-language frameworks. To collaborate with