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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | Montpellier, Languedoc Roussillon | France | about 2 months ago
, tailored on the needs of the chosen research field available at the different partner places, will be proposed to the PhD students and specified in their Personal Career Development Plan. We will ensure co
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. • Designing and structuring multi-scale databases integrating material properties, process parameters, sensor data and simulation outputs. • Developing and validating AI-assisted digital twin models able
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in concrete. The main objective is to better understand the interaction mechanisms between these different constituents in order to identify the key parameters needed to design concrete mixes
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its potential impact on subsequent child development, with the goal of addressing a significant public health challenge. This initiative is part of the Health Innovation 2030 Plan and is based
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
]. Implementation plan The first stage of the PhD will focus on data collection and curation. The candidate will identify and gather relevant LSF and DGS video-text resources from open repositories and other
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-edge Hybridizable Discontinuous Galerkin (HDG) code (Giorgiani et al., JCP 2018). This code enables high-fidelity simulations of plasma transport under realistic tokamak conditions. Innovation: Unlike
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completion. This position offers a remarkable opportunity for personal and professional growth in a cutting-edge research environment. Strategy of the host laboratory: The teams of the INCIT unit U1302 (https
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developed or currently being developed within the host team and within the laboratory. You are expected to have the following skills: Design and deliver courses, both lectures and tutorials, for a non
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. You are expected to have the following skills: Design and deliver human geography courses, both lectures and tutorials, for a non-specialist audience. Become familiar with the geography curricula in
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, granularity, semantics, attributes) using QGIS and Python for data exploration and preprocessing - designing an approach for automatic change detection using AI techniques (classification, clustering