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Field
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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus
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their scales, exploring parameter space for vortex behaviour using theory and idealised model simulations, testing the relevance of the new paradigm using case studies observed using during the NERC
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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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group with expertise in primary headache disorders, electrophysiology, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies. The Headache Group is part of the WSPaRC, with
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cycle in regional and global chemistry-transport and climate models, and for improving the ability of remote sensing to detect and characterize source areas and atmospheric particles. The OPENDUST project
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to unravel the atmospheric importance of this interfacial chemistry by means of (i) laboratory-based investigations, (ii) field observations and (iii) modelling. These activities will take place in the frame
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and implemented in Fenics to: - Identify the mechanical properties of collagen hydrogels, depending on their manufacturing conditions, based on experimental data. - Improve these models to include
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assess rank and identify the most promising fields for cyclic hydrogen storage such that they can be assessed in more detail using traditional reservoir characterisation, modelling, and simulation
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 15 days ago
opens the way for uncovering them using data-driven techniques and bridge the gap between constitutive modelling, numerical simulations, and experiments. As a Postdoctoral Researcher, you will explore and