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arguments (support, attack), and building argumentative essays and summaries. The most salient applications are intelligent personal assistants and argument search engines. However, despite the salient
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beamline operations. • The ability/ willingness to code (Python) is mandatory, data mining is critical to the success of this project. • Proficiency in English (A proof of upper-intermediate B2 level must be
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10 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Combustion, Aérothermique, Réactivité et Environnement Research Field Engineering Chemistry Physics Researcher Profile
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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of proof assistant technology capable of understanding the dynamical linguistic structures found in current high-level mathematical texts. The project includes the study of interpretation mechanisms
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/id_offre/133406 Requirements Specific Requirements The candidate should have a Master or similar degree in electrical engineering. As the PhD thesis proposal lies at the intersection of artificial
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5 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire de réactivité et chimie des solides Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher
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engineering Researcher Profile Recognised Researcher (R2) Country France Application Deadline 6 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
, engineering and economics. Under the supervision of the Ministry of Ecological and Solidarity Transition (MTES) and with an EPSCP status (Public Scientific, Cultural and Professional Establishment), its
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, around sixty engineers and technicians, more than 50 doctoral students and an administrative team serving research. The candidate (M/F) will join the MEB team, working in the ERC project SIESTA led by