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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-informed/physics-guided models to complex engineering systems Development and use of advanced scientific AI methodologies, including surrogate models, generative models, probabilistic models, and both data
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
methodologies to complex engineering systems; Development and application of advanced Scientific AI methodologies, including surrogate models, generative models, probabilistic models, and data-driven and physics
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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mathematical modeling systems for data analysis problems; ii) Develop data management systems; iii) to promote the dissemination and exploitation of the results generated in the project. 4. Objectives: Develop
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stipulated in Article 7 of the RBI-UC, subject to an opinion issued by the respective supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under
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. Objectives: Develop mathematical models. Promote the communication and dissemination of the project results. Develop programming and data exploration techniques. 5. Applicable legislation and regulations
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an opinion issued by the respective supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant
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the scope of R&D projects CFD4SynGAS - Optimizing syngas yield via CFD modeling of co-gasification of biomass and Refuse-Derived Fuels for Waste-to-Energy solutions, 2024.14779.PEX. The complete notice is in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
out research duties within the project “FibroRevert - Modeling and targeting cell-extracellular matrix communication to revert tissue fibrosis”, GA 101221669, funded by the European Research Council