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modeling molecular dynamics using our trapped Rydberg ion technology. This position is part of the ERC Synergy project "Open 2D Quantum Simulator (OPEN-2QS)", which start on 1 May 2025. The OPEN-2QS project
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for the simulation of non-adiabatic exciton transfer dynamics in light-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and
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-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and machine learning approaches. These are similar to earlier work
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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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for proteins and lipids, the investigation of biomolecular condensates at cell membranes using molecular simulations, and the development of machine-learning models trained on simulation data. The doctoral
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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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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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cellular signaling remains a key challenge in biology and is at the heart of the project. The PhD student will be in charge of the molecular modelling aspects of the multi-scale approaches undertaken by
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bring or send –for the interview- a certified copy of the degree and/or master, as well as the academic record showing the marks of all subjects studied. Specific Requirements Experience in molecular
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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