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Field
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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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. The objective is to extract structural and metabolic biomarkers enabling precise spatio-temporal modeling of tumor evolution, for diagnosis, prognosis and personalized therapeutic follow-up. Develop deep learning
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. The objectives are : - Develop anisotropic internals for RPBs - Experimentally study the performance of the RPB with these internals, in particular the material transfer coefficient. - To model the hydrodynamic
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technical field (Computer Science, Physics, Math, etc) or in Law or Social Sciences with a strong technical track record. Experience with interdisciplinary research teams involving law, social science, and
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corrosion-resistant alloys designed for extreme environments, such as those encountered in nuclear energy applications. The main objective will be to focus on Ni–Cr-based alloys with the addition of third
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in collaboration with CEMES and LPCNO Toulouse, that aims at integrating the excitation of a prototypical plasmonic 2x1-bit ALU processor and its computation response. The main objective
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Inria, the French national research institute for the digital sciences | Lyon, Rhone Alpes | France | 18 days ago
within the framework of the défi Inria Liberabci, which objectives are to make complex tools such as Hierarchy Builder, Trocq or rewriting, as well as libraries of formalized mathematics such as
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astrophysics including processes associated with compact objects and black holes and the exploitation of the SVOM mission, galactic archeology including exploitation of the Gaia mission, galaxy evolution and
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in the DDX6 gene are responsible for a syndromic form of neurodevelopmental delay in humans. Its objective is to understand the mechanisms leading from these mutations to the pathology. - Development
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, we propose to design pre-trained language models for French with two objectives: To train models for specialised domains (engineering, law, medicine, spontaneous speech transcription) Train models