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Field
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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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information rates of the conventional transmission methods in optical communication. The problem of efficient communication over optical fiber channels is open, because the channels are governed by complex
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1 Nov 2025 Job Information Organisation/Company CNRS Department Chimie des colloïdes, polymères et assemblages complexes Research Field Pharmacological sciences Engineering Technology Researcher
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observations of natural objects, experimentation, and modeling of the associated complex processes. The laboratory is made up of ~300 people and includes many nationally and Europeanly recognized experts in
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
laboratory tests. The research position hinges on the interdisciplinary integration of AI with theoretical/computational mechanics and physics to deepen the scientific understanding and modelling of complex
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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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to clarify how curvature-penalised growth can robustly encode homeostatic states of stress and size. Drosophila wing disc experiment-driven modelling: Experiments performed in S. Harmansa's group in Exeter
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research in model theory within the ANR
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the aim of identifying relevant topological invariants to characterize the underlying dynamics and guide the selection of appropriate reduced models. - Adapt and implement existing topological tools
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simulations (integrated modelling) can be used to better understand the dependencies obtained in scaling laws and better constrain them beyond the existing experimental space. This is the goal of the present