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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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karstic networks and alluvial terraces lying on the top of the foothills. The work will be mainly based on already existing and new TCN dates in order to: (1) gain an overview of the oldest remaining
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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the synthesis of the nanowires and their assembly into networks (by soft chemistry), while the synthesis of the matrix (CVD deposition) will mainly be carried out by a PhD student already recruited
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recorded the ground movement along more than 450 km of underwater optical fiber of the Chilean GTD network for two years. • Detect low frequency transient signals in DAS data. • Identify more specifically
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, including variational auto-encoders, generative adversarial networks (GANs) and more recently probabilistic diffusion denoising models. On the other hand the CRIStAL laboratory has a strong expertise in
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on the metabolic and trophic variables of planktonic networks. The main activity will be the analysis of in situ data collected during these projects, the estimations of the above-mentioned variables by linking them
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Description -Applications are invited for a postdoctoral position to study the neurocomputational mechanisms of information propagation in social networks. The Neuroeconomics group of Dr Jean-Claude Dreher
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approaches, from biochemistry to single-molecule biophysics, molecular and cell biology, and transcriptomic analyses. The group benefits from strong collaborative networks, including with structural biologists