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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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requirements I.I - Grant Recipients: Masters in Chemical Engineering, Materials Engineering, Chemistry, enrolled in a PhD program or a non-degree course. OR Master’s degree holders, in the scientific area of
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of biodegradable composite fibers (PLGA/PLA), and validation of therapeutic efficacy in ex vivo models (human skin) of burn wound healing. Additionally, the candidate will collaborate in the integrated analysis
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economy (CE) within some specific sectors and to propose a methodological framework for modelling these barriers. The research also aims to develop a decision-support model that can assist policymakers
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evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest hundredth, applying the following formulas: - AR: criterion 1 * (50
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: Ability to express oneself and verbal fluency VII.III- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest hundredth
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- The curriculum evaluation considers the candidates' academic and professional achievements based on the following weights and criteria: - Criterion 1 – Specific knowledge related to the work plan - 50% - Criterion
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adsorption capacity, thermodynamic stability, reversibility, and kinetic barriers, combining experimental studies with thermodynamic and kinetic modelling. By establishing clear structure–property–performance
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of the grant: Ana Clotilde Amaral Loureiro da Fonseca IV - Work Plan / Goals to be achieved: Development of polyester-based composites with cellulose fibers. Chemical, thermal, mechanical, and biodegradability
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%) - Adequacy of the candidate´s profile to the work plan to be developed (50%) VII.II- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded