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28 Oct 2025 Job Information Organisation/Company CNRS Department Equipes Traitement de l'Information et Systèmes Research Field Engineering Computer science Mathematics Researcher Profile First
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this PhD project with biomarker data and outcome data, the consortium aims to develop a robust model that can better predict transplantation outcomes. This innovative approach will contribute to more
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events, will be used to enhance the diagnostic and predictive capabilities of the safety level for the individual lift. Combining data-driven probabilistic risk assessment models and inspection planning
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Open to: UK applicants only Funding providers: EPSRC CASE Conversion with GSK Subject areas: Applied Mathematics, Mathematical Modelling, Mathematical Biology Project start dates: 1 October 2025 1
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dynamic environments, utilising Vision, Language, and Action (VLA) models. The candidate will focus on designing novel training regimes and/or novel architectures for learning in embodied environments
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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of artificial intelligence , traffic management, and decision support systems. The successful candidate will explore the application of foundation models, such as large language models (LLMs), to support and
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on optical transmission through falling snow and the models we have are inaccurate. By conducting experiments in Arctic weather over a longer period of time, at different geographic locations, we hope to build
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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-edge infrastructures, and emerging AI-driven user applications. Key research directions include: Modeling and profiling of emerging AI-based workloads and data-intensive applications in mobile networks