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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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molecular dynamic calculations) will be needed to develop these types of models. Some of the complex material systems of interest are metallic glasses, nanocrystalline metals, hydrogen storage materials
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SEM, circular dichroism, FTIR and molecular dynamics simulations. Synthesis and characterization of nanostructures such as nanoparticles, nanofibers and hydrogels based on biopolymers, polymers and
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the dynamics of protein/DNA assemblies (chromatin/nucleosomes). The additional requirements for this position include: compliance with the formal requirements outlined in the: Regulations on awarding funding
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barley signalling hubs that mediate the response to elevated temperature. Moreover, the successful candidate will use protein biochemistry, AI-guided protein design and molecular dynamics simulations
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with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
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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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a dynamic and ambitious research group with a strong focus on genetic, molecular, and functional analyses of B cell and antibody responses. The project will include laboratory-based research
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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
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preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics