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. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model. The EngD
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a Research Infrastructure? No Offer Description Work Plan • Survey of the state of the art in predictive and analytical models applied to sports, ranging from statistical and linear approaches to deep
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for clinical decision support. Activities include: data integration and preprocessing for AI model training; development and validation of predictive Digital Twin models for disease progression prediction, risk
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meteorological data; compilation of data on the incidence of relevant vineyard pests and diseases; study of environmental conditions favorable to their development. 2) Development of the predictive model (Months 3
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integration of the SUMMA system for hydrological predictions. Application of the models to the Alcácer do Sal region, located in the Setúbal District Contribute to the development of a prediction and forecast
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materials is still evolving, especially for temperature- and rate-sensitive systems like prepreg. This project aims to address these challenges by developing a suite of deployable tools and predictive models
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prediction, preferably demonstrated within the scope of the Master’s dissertation. 4. Work Plan The work plan includes activities within the scope of the NEURASPACE Project, reference C626449889-00463050
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call for applications is open for a Research Grant (BI) within the scope of the project “FIRE-LSF: DEVELOPMENT OF PREDICTIVE MODELS FOR THE FIRE RESISTANCE OF LIGHT STEEL FRAME WALLS - AN INTEGRATED
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Silva. Grant duration: Initial duration of 36 months, with the predicted starting date in April 2026, on an exclusive basis eventually renewable but never exceeding the project duration
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of 3 months, with the predicted starting date in April 2026, on an exclusive basis, eventually renewable , but never exceeding the project duration. If the contracting procedures do not allow