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behavior in the Phenoworld using a combination of conventional and data mining approaches as well as molecular biology techniques (RNAseq, RT-PCR, immunohistochemistry, etc) to investigate neurobiological
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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combines multimodal neuroimaging with computational modeling to characterize the neural mechanisms underlying human social decision making. The focus of this project will be to unravel the neurocomputational
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combining highly porous ceramic electrode materials and specific inorganic electrolytes, ITEN, a French DeepTech company, designs highly efficient and safe microbatteries. The Laboratoire de Chimie and the
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generations of batteries. Studying phenomena of a very different nature (chemical, structural, morphological) operating on different time and space scales requires combining techniques in a multimodal and
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variety of structures and associated photophysical properties. This will enable the emergence of innovative materials combining intrinsic luminescence with sensitivity to external stimuli (temperature
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will develop and operate a reproducible computational workflow that combines molecular and periodic electronic-structure calculations, and when appropriate time‑dependent methods. The workflow will be
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are usually generated by a combination of a deterministic low frequency part and a stochastic high frequency component. We target principally two recent earthquakes; 2023 Turkish sequences and 2024 Noto, Japan
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Currenti et al. (2008). To characterize the sources, these models will need to be combined with inversions. We will use near-neighborhood inversions (Sambridge et al., 1999a and 1999b), already implemented
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EEG signals, and combine these scalp with intracranial (thalamic) recordings in the NHPs for unravelling thalamocortical circuits in perception. Activities will involve setting-up the experiments