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The project is interdisciplinary, co-supervised by the GREYC and MODYCO laboratories, with support from the NIMH laboratory. It combines Natural Language Processing, linguistics, and cognitive psychology in
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, and computational biology. The project includes collaborations with academic partners specialized in probabilistic modeling and experimental biophysics, notably through interactions with research groups
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(between one and two weeks for each mission). A knowledge of various data processing techniques is essential, as is the ability to create reliable databases. Knowledge of the operation of an electrical grid
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to the development of energy models; • to access complementary experimental platforms; • to strengthen Franco-Canadian scientific collaborations. The project also benefits from industrial support through
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, rooted in digital sciences, mobilizes knowledge engineering, including ontologies and semantic graphs, in order to structure heritage data and model chains of evidence, drawing on standards such as CIDOC
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Description The PhD student will join the Centre for Research on Animal Cognition (CRCA), an institute dedicated to multidisciplinary and comparative studies of cognition in various animal models. Based
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resistance of ceramic shell moulds used in investment casting. Advanced in situ experiments combined with multi-scale Finite Element Method (FEM) modelling will be employed to identify the key stress and
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-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical
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Belfort-Sévenans. The primary objective of this doctoral thesis is to reconsider current models related to economic structures and the connectivity of human communities during the early Middle Ages (6th
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inconsistencies between data sources, and improve knowledge of underground water networks. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8188-SALBEN-004/Default.aspx Requirements Research