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, deepfake detection, and generative audio. A strong open-science environment: the project aims to publish in leading venues and release software source code and trained models to support reproducibility and
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(AWSoM/IA) to model stellar coronae and winds driven by dynamo‑generated surface magnetic maps. Disseminate results in journals and conferences; contribute to open‑science releases of data and code. In
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implementation in Fire Dynamics Simulator CFD code Experimental validation of simulations Machine learning for accelerated evaluation of radiative properties The doctoral degree will be awarded upon successful
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models for gases to solid particles Experimental characterization of fuel particles using FTIR Mathematical model formulation and programming Model implementation in Fire Dynamics Simulator CFD code