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will explore different soundscapes, 3D models, forms of interaction, and their influence on perception, attention, emotional load, and critical reflection. The methodology will combine design and
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large erosion pit during a breach, iii) a flood wave much more powerful than water in terms of transport capacity and destruction of buildings. Analysis of the state of practices does not show a model
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candidate will be responsible for analyzing and modeling rich and complex datasets from large-scale electrophysiological recordings (Neuropixels probes) in multiple regions of the frontal cortex and striatum
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the candidate will not be responsible for all the modeling, he/she will be expected to develop a critical mindset and a solid understanding of the generated data to actively participate in the interpretation
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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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BMAD simulation tool, an advanced open-source particle tracking framework, the doctoral candidate will perform start-to-end simulations, benchmark physical models, and explore tolerance studies. Specific
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the development of a phase-field model to study the mechanisms of formation and growth of tetrataenite (Ni-Fe with the L1₀ ordered structure) during cooling. The objective is to incorporate the presence
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: the Center for Nuclear Sciences and Material Sciences (CSNSM), the Laboratory for Imaging and Modeling in Neurobiology and Cancer Research (IMNC), the Orsay Institute of Nuclear Physics (IPNO), the Linear
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experimental development, physicochemistry, and multiscale modeling for the implementation of innovative extraction technologies aimed at processing complex, polymetallic, and unconventional resources while
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element of embedded intelligence lies in the sensor's ability to self-calibrate and, in particular, to adapt its responses and models according to sensor aging and the (sometimes significant) variability