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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through
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for Research Grants of the Foundation for Science and Technology, I.P. (model below) and other documents considered relevant by the applicant. In order to assure that all documents can be read, the preferred
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to interact with the digital twin. v) Writing tutorials, technical reports, and scientific publications. 4. Objectives: Study and development of a digital twin system to create a digital model of sensorized
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analysis, generalized linear models and Cox regression; Good knowledge of the English language (written and oral); High sense of responsibility, organization and orientation of work towards results; Ability
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Vitae; Declaration on honor that the candidate fulfills the requirement contained in article 6 of the Regulation for Research Grants of the Foundation for Science and Technology, I.P. (model below) and
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of the Foundation for Science and Technology, I.P. (model below, for student enrolled in a non-academic degree course integrated in the educational project of a higher education institution, developed in association
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 3 months ago
be explored to improve the generation of 3D models, topology optimization and printing parameterization, aiming to improve efficiency, reduce waste and guarantee the structural quality of manufactured
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models
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article 6 of the Regulation for Research Grants of the Foundation for Science and Technology, I.P. (model below, for student enrolled in a non‐academic degree course integrated in the educational project
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OBJECTIVES Analysis of fibre-reinforced concrete structures assisted by models based on the finite element method; month 1 to month 6; Execution of parametric studies using finite element–based software