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Max Planck Institute for the Physics of Complex Systems | Dresden, Sachsen | Germany | about 15 hours ago
13 Apr 2026 Job Information Organisation/Company Max Planck Institute for the Physics of Complex Systems Research Field Physics » Biophysics Physics » Thermodynamics Physics » Statistical physics
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and Complex Systems , Nonlinear Integral Systems, Classical and Quantum , Physics , Physics - Mathematical Physics , Soft Condensed Matter Physics , Soft Condensed Matter Theory , Soft Matter
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2 Apr 2026 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering
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models and computational tools to better characterize, understand, and anticipate large-scale complex networks and systems. The Postdoctoral Research Associate will perform basic and applied research
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AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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2 Apr 2026 Job Information Organisation/Company CNRS Department Catalyse, Polymérisation, Procédés et Matériaux Research Field Chemistry Physics Researcher Profile First Stage Researcher (R1
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
graph-based representations, system dynamics, and Physics-Informed Learning, as well as the implementation and validation of these models using real-world data. The developed models will be integrated
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the role of membrane dynamics and lipid environments in modulating signaling scaffolds. We investigate how membrane-remodeling complexes and specific lipid compositions influence the spatial organization
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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved