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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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knowledge of molecular biology. Project Background: Oral tissues constantly experience mechanical forces from mastication, orthodontic treatment, and disease. The junctional epithelium forms a critical
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these insights with larger-scale soil and plant models. Perform molecular dynamics simulations to investigate interactions between soil organic matter (SOM), extracellular polymeric substances (EPS), water, and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 6 hours ago
-Synuclein-lipid complexes by NMR spectroscopy in combination with photo-bleaching for the determination of the stoichiometry of the complexes and molecular dynamics. The protocols to prepare physiologically
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polymers are macromolecules with one key distinguishing feature: they have no ends. This seemingly trivial fact has significant consequences for molecular conformation, dynamics and material properties
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PhD Student (f/m/d) | NMR structure of AP-L complex of hIAPP and its effect on fibrils and membranes
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 6 hours agoin combination with photo-bleaching for the determination of the stoichiometry of the complexes and molecular dynamics. Experiments on integrity of membranes in the presence of the AP-Ls and fibrils as
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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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research environment for biophysics. Our group combines molecular dynamics simulations with machine learning techniques to understand how proteins, biomembranes, and small drug-like molecules interact
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations