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). . APPLICATION DEADLINE: 09th of September of 2025 to 22nd of September of 2025. . SELECTION METHOD AND EVALUATION CRITERIA: Evaluation will be based on the curricular analysis and eventual interview, and will
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based on the curricular analysis and eventual interview, and will focus on the candidate merit according to the following: - Adequacy of the field of study of the academic qualification (HA); - Academic
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) Data treatment and statistical analysis; and (3) elaboration of reports and scientific articles. Applicable Legislation: Law nº.40/2004, 18th August (Research Fellow Statute) amended and republished by
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development phases: 1) State-of-the-art analysis: Research and analysis of multi-agent system architectures, orchestration techniques, RAG mechanisms applied to conversational systems, agent management tools
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recommendation mechanisms based on semantic analysis and natural language processing, with the aim of facilitating collaboration and convergence of proposals. Developing and training NLP algorithms in multiple
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proven by portfolio or examples of previous work in the digital field. Social media management skills (content creation, scheduling, and metrics analysis), proven by examples of previous work in the
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, specifications and requirements; 2 - Preparation and analysis of datasets representative of IoT/edge/cloud scenarios; 3 - Design of architectures for network security and intrusion detection, considering ad hoc
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 20 days ago
feedstocks mixtures; analysis and discussion of results, with literature review (to support the discussion of results); comparison of obtained results with similar studies; provide recommendations
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; - Develop and optimize molecular and cellular biology protocols (e.g., cloning, Western blot, RT-qPCR, etc.); - Perform live-cell confocal microscopy (including image acquisition and analysis); - Provide
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pilot context. The work plan consists of the following activities: 1) Analysis and specification • Study of the legal domain supported by AI4JURIS and the technologies in use. • Development of priority