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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
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position on vulnerability and adaptation to climate change inside the Mediterranean Ramsar network. The Tour du Valat is a research institute for the conservation of Mediterranean wetlands based in
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integrating new generative models into RL-EDA, such as Generative Flow Networks (GFlowNets [Bengio et al., 2021]) or diffusion models [Lou et al., 2024]. Where to apply Website https://recrutement.univ
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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and to characterize interactions with fire regimes. Ultimately, these results will also contribute to a combined paleo-modeling approach at the core of the RETROPEST project (https://anr.fr/Projet-ANR
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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information design, (iv) strategic communication on networks, (v) information transmission with coarse messages. The post-doctoral researcher will participate in the scientific activities of the ANR SCOCOS team