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performance of molecular dynamics studies on molecular diffusion models in membranes. The research is oriented towards the study of the physicochemical behavior of new systems based on paramagnetic ions with
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. Using dynamic covalent chemistry, molecular switches and reversible polymerisation, we’ll explore new ways to tune droplet growth and stability. The goal is to develop design rules for materials with
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proteins. Perform large-scale molecular simulations of multicomponent protein and lipid assemblies involved in signaling pathways and characterize their interactions as well as their thermodynamic and
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English. Has a positive attitude. Is able to work independently. Prior experience with molecular simulation, ab-initio, or macroscale modeling is not strictly necessary, nevertheless, will be considered a
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, with a dynamic international exposure animated by regular seminars and meetings. The Laboratoire de Biochimie Théorique (LBT) is internationally recognized for developing and applying computational
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
. The place of employment is at the Department of Cellular and Molecular Medicine, Panum, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research
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collaboration, innovation, and exploration across many disciplines. We provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global
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researchers addressing complementary topics and methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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the reach of traditional molecular simulations. Therefore, this project will apply adaptive kinetic Monte Carlo simulations to model zeolite formation as a dynamic network of growing and dissolving clusters