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models for efficient coupling; and (3) analysing simulation and surrogate outputs to validate and refine the framework. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml
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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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successful delivery of key milestones. Key Responsibilities Lead the end-to-end design and development of core system components, including AI-based encoding/decoding modules, model integration pipelines, and
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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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interactions with the working group dedicated to forest dynamics modelling within the MONITOR project, which brings together field ecologists and modelers. The PhD will be supervised by Romain Bertrand (CRBE
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heterogeneous vehicular environments. A key focus will be integrating multi-domain battery modeling—encompassing electrochemical, thermal, and behavioral aspects—into the SDV architecture, enabling seamless
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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | 5 days ago
inverse modelling in geosciences. (https://www.ipsl.fr/ ) Task description for your Individual Research Project (IRP) Problem Definition: In order to account for the chemistry occurring in the rocket plume
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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. Knowledge in statistical modeling, data science, exploratory analysis, and natural language processing applied to legal texts and empirical legal studies is highly desirable. Candidates must have excellent