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an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media
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evolutionary mechanisms: for example, heterozygote advantage (HA), negative-frequency dependent selection (NFDS) or spatially/temporally fluctuating selection (FS). Recently, new research showing that balancing
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networks, to name but a few. The development of these systems requires realistic modeling of these propagation channels. The main difficulty lies in measuring this multi-dimensional propagation channel (time
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a