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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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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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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
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forest vegetation dynamics in Québec across these same time scales. The project will rely on a network of regional study sites, including both short cores (ca. 2,000 years) and long cores (ca. 8,000
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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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regional network of memory clinics in the Hauts-de-France region, and the demographic and clinical data within this database, specifically regarding patients at the memory center (in terms of the sex ratio
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The candidate will: • Hold a PhD in analytical chemistry or biochemistry with a strong expertise in mass spectrometry • Have broad experience in biological sample preparation techniques (serum, plasma, urine
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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changeYears of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for an enthusiastic, motivated, and autonomous researcher with: A PhD in glaciology, geochemistry, physics
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance