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realization of research and development activities within the scope of the HORUSNEXTGEN project. The methodology to be adopted will follow an interdisciplinary approach, integrating stages of modeling
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, integrating stages of modeling, experimentation and validation, highlighting: Study of the state of the art; Requirements analysis and software engineering modeling; Design of the functional architecture
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at the University of Beira Interior https://www.ubi.pt/entidade/C-MADE under the following conditions: Research Field: Civil Engineering Objectives: Development of predictive models and adaptive prototypes for river
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: Computer Science Objectives: The activity involves designing and developing an advanced prison management platform (the HORUS AI platform). This includes creating and training a large language model tailored
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activities within the scope of the T3SH-City project. The methodology to be adopted will follow an interdisciplinary approach, integrating stages of modeling, experimentation and validation, highlighting
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activities within the scope of the T3SH-City project. The methodology to be adopted will follow an interdisciplinary approach, integrating stages of modeling, experimentation and validation, highlighting
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preclinical model of ischemic stroke and compare with the effect of an experimental drug. Work plan: To determine the therapeutic potential of preconditioned MSC and their secretome in a preclinical model of
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(BI) aims to develop computational models and calculation tools capable of predicting the structural behaviour of elements produced by accelerated carbonation. The work will integrate experimental data
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creating and training a large language model tailored to the OMS context, integrating AI agents, and implementing a vehicle mobility interface. The platform will be tested, validated, and continually refined
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. - Proven experience in safety assays using cell cultures and other models, namely in assessing cell proliferation/cell death. - Ability to analyse experimental results, with solid knowledge in statistical