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pathways of atmospheric organic reactions. AI-augmented molecular simulations: developing and applying machine-learning force fields and state-of-the-art enhanced sampling to reveal interfacial and
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architectures with enhanced properties. Promising materials will be identified through simulations, synthesized, and experimentally characterized. Ionic transport properties, interfacial stability, and overall
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from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section
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searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs
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Mission Contribution The Materials in Transition (MATR) Lab at the School of ENAC, EPFL, is seeking a self-driven and inquisitive post-doctoral researcher to start between August and October 2026, in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
-methods project includes use of nationally representative surveys, literature reviews, causal loop diagramming, an expert elicitation process, and simulation modeling. The postdoc will take part in study
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software. The research fields range from molecular biology to astrophysics. Your research agenda should overlap with one or more research areas at HITS: Complex simulations across scales: from molecules
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Subject description AI-based protein design and synthetic biology for developing programmable living materials, with a particular focus on the de novo design of proteins biofilm systems
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education teaching and learning. Detailed description of the work duties, such as: Fieldwork in Kazakhstan, Bulgaria and Sweden Monitor breeding populations of songbirds (catching and colour banding of adults
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with