90 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" "St" positions at Universidade de Coimbra
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justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Joel Alexandre da Silva de Jesus Effective Members: Ricardo Nuno Madeira Soares Branco and Dulce
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. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Isabel da Silva Henriques Effective
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Development plan up to 10 pages, with formatting and font size that ensure adequate readability, concerning the research lines in the scientific field for which this tender is open and which the candidate
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objectives: 1 – Development of a tool for identifying operating regimes using machine learning techniques. 2 – Development of a tool for identifying the causes of process eco-efficiency degradation using
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Antunes IV - Work Plan / Goals to be achieved: Support for Activities 2 and 3 of the Olivaqua project. Study of the interaction mechanisms between phenolic compounds and adsorbent materials Development of a
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project team, providing cross-cutting support to the research and technological development activities of the Component A of the product – Hapillness Kit. The candidate will participate in the following
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biological collection, access to specialised analytical infrastructures, and a consolidated network of collaborators, elements that ensure adequate conditions for the technical and scientific development
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, promoting the sequestration of carbon dioxide (CO2). This work can be divided into two main parts, which are integrated and complement each other: Part A – Development and optimization of the CO2 fixation in
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Macedo; Naghmeh Ramezani Ivaki IV - Work Plan / Goals to be achieved: Title: Agentic AI for Software Development Brief description of the scholarship's objective: Effective task delegation in software
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to generative models, and fairness in generative systems. 2. Design and Development: Develop evolutionary representations and operators for exploring latent spaces of generative models, focusing on the discovery