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Field
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, interviews, backcasting, transition pathways, policy mixes, social simulation modelling, and possibly participatory value evaluation or gamification. You will collaborate with other early-career and senior
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sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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of optimization mechanisms through simulation T4 – Evaluation of optimization mechanisms in a testbed T5 – Writing scientific papers and project documentation V - Initial grant duration: 12 months V.I - Renewal
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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pathways, policy mixes, social simulation modelling, and possibly participatory value evaluation or gamification. You will collaborate with other early-career and senior researchers in the project, as
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of these sensors. - Access to the laboratory's experimental characterization facilities. - A collaborative and multidisciplinary environment at the interface of theory, modeling, and experimentation. Scientific
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. The research will focus on developing hybrid learning–control architectures that integrate model-based control and planning methods with data-driven learning approaches. Potential topics include safe