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neuroscience or a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (eg. model-based fMRI). The candidate must also have working knowledge
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dynamics simulations, to help advance theories describing the scaling behavior of polymers. This project will employ such generic, particle-based, models to simulate polymer dynamics in the search
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collaboration with Michelin, is to develop surrogate models capable of rapidly approximating the simulator's results while accounting for uncertainty. Particular attention will be paid to the model's lightness
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models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
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the aim of identifying relevant topological invariants to characterize the underlying dynamics and guide the selection of appropriate reduced models. - Adapt and implement existing topological tools
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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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significantly deformed by tides? We will address this question using an experimental model approach. The agent will be responsible for: - installing the metrology equipment (PIV and conductivity probe
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of PhD students and post-docs working on different aspects of seafloor spreading (magmatism, tectonics, hydrothermalism) on a range of time scales, with observational and modeling approaches
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natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The selected
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natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The selected