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of technological innovation aimed at sup- porting farmers by alerting them of imminent lambing events. Its objective is to provide a reliable predictive system based on sensors and artificial
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) are an important tool for predicting the impacts of climate change on communities and ecosystems, but their accuracy depends on how well they reflect factors that ultimately drive plant fitness, including resource
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screening to a predictive, rational design of absorption media (WP1) and to validate their efficiency in VOC capture, with a specific focus on emissions from the semiconductor industry. (WP2). The project
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collaborate closely with experimental partners (ICCF, IJL, IC2MP, and Syensqo) to validate computational predictions, ensuring the development of catalysts that are both highly active and stable under harsh
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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focused on exploration and development of AI models of auditory perception, towards a broader goal of understanding how the brain predicts and learns from human communication sounds such as speech and music
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on hospitalizations for RSV bronchiolitis. Brault et al, Lancet Child and Adolescent Health, 2024 Development of an ensemble model to forecast COVID-19 hospitalisations in France. Paireau et al, PNAS 2022 Estimating
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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(CRC), Paris Scientific supervisors: Prof. Jean-Charles Nault Project: SIGN’IT 2025 – MIMIC: Multimodal multi-omics approach to predict response to immunotherapy in advanced hepatocellular carcinoma