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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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. Influencing factors include course design, environmental conditions, peloton strength, team strategy interactions, rider skills, and physiological capabilities during critical race moments. These elements
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methods: The Met Office aims to help its customers stay safe and thrive by producing reliable weather and climate information. Numerical models of the climate system are an important tool to help achieve
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site, the Institut Pprime is recruiting a Researcher as part of the INFERENCE project funded by the Agence Nationale de la Recherche (ANR) and Nouvelle Aquitaine Region to work on the Modeling and
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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a
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, various types of leave, and options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM
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approach combining cryo-electron microscopy, NMR spectroscopy, and advanced molecular modeling, the research will unravel the molecular architecture and conformational dynamics of pili and their interactions
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 1 day ago
(Bordeaux) and half at Airbus (Toulouse). Safer and cheaper aircrafts require new concepts, and increasingly complex geometrical, physical, and numerical modeling. These new models must integrate multi
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pilots to real-world systems. The overarching aim is to deliver a scalable approach, pairing shared “aggregator” models with household-specific “client” models that exchange knowledge while keeping data