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digital worlds. Its teams explore, design, and develop models and methodsboth physical and algorithmic—as well as new technologies that bridge the real world (matter and living systems), digital data, and
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Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and
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. Interest and experience with training/fine-tuning machine learning models would also be appreciated. Interest and knowledge of economic theoretical modelling would be a plus. Strong coding skills and
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; --> actively participating in data collection. - Organise and contribute to data processing and analysis, including statistical analyses such as Item Response Theory (IRT) modelling and exploratory and
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researcher will study the feasibility of producing porous foams from fibrous waste and evaluate their performance. Based on model formulations developed from commercially available recycled fibres, they will
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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communications that are viable, efficient and compatible with physical and human reality. Our work is based on mathematical and computer theories for the development of models and algorithms, validated by hardware
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sustainable social, economic and ecological models. The organisation you will be joining The UMR PALOC (Local Heritage, Environment and Globalisation – https://www.paloc.fr ) is a joint research unit under the
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with physical and human reality. Our work is based on mathematical and computer theories for the development of models and algorithms, validated by hardware and software implementations. By relying
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partners; - analyze the behavioral traces and verbal data using suitable methods (regression, clustering analysis, Bayesian models); - contribute to the identification of relations between mediation