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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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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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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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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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the reference BiodivNBS/0007/2023 and DOI: https://doi.org/10.54499/BiodivNBS/0007/2023 , financed by Foundation for Science and Technology, I.P , through national funds, under the European Co-financed
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the University of Porto (FEUP), under the scientific supervision of Professor Ana Rosanete Lourenço Reis. Grant duration: Initial duration of 6 months, with the predicted starting date in April 2026
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
control theory (e.g., model predictive control, fuzzy control, etc.) # Excellent teamwork and communication skills in an interdisciplinary and international research environment # Motivation and self