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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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. Using all-atom molecular dynamics simulations and enhanced sampling techniques, the project will investigate how S-glutathionylation modulates nucleosome structure and dynamics, alone and in combination
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of configurations generated in silico as well as their thermodynamic, dynamic (phonon), and mechanical properties, and performing DFT/MLIP NpT and NVT molecular dynamics simulations. - Analyzing and exploiting
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Engineering, Computer Science, or a related field. Accompanying Knowledge, Skills, Abilities and Competencies Excellent abilities in molecular modeling and simulations (molecular dynamics or Monte Carlo
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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theoretical and computational soft-matter physics and biophysics. The successful candidate will work primarily with Dr. Matej Kanduč on research topics related to molecular dynamics (MD) simulations
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Postdoctoral Research Fellow to design and execute independent and
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, the primary unit of chromatin, using classical all-atom molecular dynamics simulations. The nucleosome is composed of a double-stranded DNA fragment wrapped around a protein core consisting of eight histones
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, Germany, where you will further develop your MD expertise and contribute to joint AI-driven research initiatives. Your core emphasis will be on long-timescale Molecular Dynamics (MD) simulations for large