Sort by
Refine Your Search
-
macromolecular dynamics with statistical mechanics, molecular simulation at different resolutions, machine learning, and experimental data. Our group works on the definition and implementation of strategies
-
for Molecular Chemistry” to start as soon as possible. What you will do Literature research and identification of promising use cases for quantum computing in molecular chemistry Simulation of Hamiltonian
-
in high-performance computing, materials chemistry, theoretical chemistry, molecular dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive
-
work on molecular dynamics simulations, where molecular interactions are predicted by neural network potentials. These state-of-the-art neural network models promise simulations at unprecedented accuracy
-
molecular dynamics simulations and was specially designed for parallelisation on GPUs. It is open source and licensed under the LGPL. Details can be found on the website https://halmd.org Job-Description
-
candidate would lead dynamic research in materials simulations, developing and applying a range of methodologies. Current strengths of the institute are to be continued. These include density functional
-
macromolecular dynamics with statistical mechanics, molecular simulation at different resolutions, machine learning, and experimental data. Our group works on the definition and implementation of strategies
-
applications: Establish a light-induced multi-physics and multiscale phase change simulation platform, which allows us to capture LAI and couple molecular information into macroscopic phase change simulation
-
spectroscopy for developing new NMR experiments Theoretical chemistry for simulating the nuclear spin dynamics in molecules Experimental physics for building electromagnetic spectrometer equipment to control