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recursoshumanos@fe.up.pt , clearly stating the reference FEUP-R2U-IPD5 and including the following pdf documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification
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activities considered relevant within the scope of the project; (3) Copy of the Certificate(s)/Certificate(s) of Qualifications with the final average(s) of the course(s); (4) Copy of Certificate(s) of other
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”, accompanied by the following documents: Curriculum Vitae and copy of academic qualifications. Applications should be sent to Professor João Neves Silva via email: joaosilva@isa.ulisboa.pt The application period
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: Participation in Project Meetings. work on the following project tasks from WP4 (Soluções digitais e de precisão na agricultura): WP3 – System Architecture Model Design. WP4 – System development and Deployment
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these data sources, the development of a machine learning-based model will enable the identification of risks and irregularities in public procurement processes. The integration of advanced data science
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) *. * mandatory requirement Work plan: State-of-art review on Large Language Models (LLMs) and multi-agent platforms for the creation of curricular units. Identification, description, and characterization of LLMs
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several optimal sensor configurations may result from the previous tasks, so several models may be developed; Implementation of the BE sensor prototypes to be tested in a laboratory setting, namely through
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modelling. The results of this research have real-world applications in several different impact areas including modelling national bushfire risk and resilience, and interventions on the Great Barrier Reef
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hydrological data. The results of this research have real-world applications in groundwater and surface water modelling. In this research Masters project, the latest AI and KR (knowledge representation) concepts