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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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, 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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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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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and computational methods and AI techniques for accelerated simulations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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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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preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics
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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