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robotiques est un atout, mais n'est pas obligatoire.We are seeking a motivated PhD candidate with a strong background in one or more of the following areas: - Speech processing, NLP, computer vision, machine
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date for the receipt of applications : 01-11-2025 (at noon) Research project or operation : The candidate, who shall hold a doctorate for less than three years at the time of recruitment, will be
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capable of generating synergies. Considering these widely established findings, the thesis aims to study all the legal issues inherent in the ambitious process of integrating the One Health principle
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subsurface in the form of geomodels. It provides expertise in the acquisition, processing, interpretation, analysis, and representation of geological, geophysical, geochemical, and hydrogeological data
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project or operation Within the ANR DAG-Arts (Derived Algebraic Geometry Applied to Representation Theory and Singularities of schemes) project we are recruiting a 1+1 postdoc. The candidate will be
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Selection process A complete application must contain: - Personal letter with a brief description of your research interests and your motivation letter, as well as your contact information - Curriculum vitae
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techniques for data storage/retrieval/processing/visualization on large scale. Cybersecurity Software engineering Machine/deep learning Technical aspects of human computer interaction (HRI, multi-modal
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procedure Follow the model of the targeted doctoral school, adding information about thesis supervision at the partner university. If you have difficulty identifying a supervisor at the partner university
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description These mesoporous hybrids will be synthesized using the polyvalence of the NHSG process
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
strategy designed specifically to meet the project's unique requirements, which demands expert knowledge. The process also includes merging different data types into a single repository to enable fast