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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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resistome, i.e. all antibiotic resistance genes (ARGs) circulating in the gut, determine the microbiome dynamic, i.e. how an individual’s gut microbiome will respond to and recover from an antibiotic therapy
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for catalysis of sustainable chemical processes. Visualizing Chemical Dynamics in Real Time Apply advanced atomic-resolution imaging and image analysis to uncover surface dynamics, reactivity and molecular
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
dynamics (MD) simulations of different materials families composed of Ti and C. Titanium carbides, for example, exhibit exceptional hardness, high melting point, wear and abrasion resistance, and many other
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charge and energy transfer in molecular (and mesoscopic) systems, behavior of molecules in strong fields, dynamics of open quantum systems, and more. This project offers an excellent opportunity to work in
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. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques such as X-ray diffraction (XRD) to characterize, at the molecular level
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cell phenotype screening, in vitro cultures of WAT-resident cells as well as standard molecular biology techniques to functionally characterize the interaction between immune and metabolic cells in human