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focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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Max Planck Institute for Meteorology | 2 months ago
Arrangement See Job Description Job Description (W-0065) Postdoctoral Position in Multiscale Modeling of Exoplanet Clouds THE POSITION We invite you to apply for a Postdoctoral Position in Multiscale
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contribute to the creative growth of the center and the broader Earth and Planetary Sciences at NYU. Candidates are expected to drive cutting edge research in the following areas of interest: multiscale
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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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year, with the possibility of renewal for more years, subject to the performance and the availability of funding. The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io
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, but not limited to biochemical, biophysical and structural experiments (mutagenesis, spectroscopy, proteoliposome experiments, cryo-EM) and/or multiscale molecular simulations (QM/MM and atomistic
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to accelerate predictions and for multiscale modeling via machine learning force fields. This research will focus on applying a range of computational tools to realistic material systems, including
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conducting research at the convergence of multiscale computational mechanics, civil infrastructure resilience and digital twin modeling. The position will require extensive collaboration across
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experimental data. This position is in the Metallurgy and Advanced Microscopy group within the Materials Science Division. You will Develop and validate a multiscale simulation framework for virtual X-ray
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field samples. At LPCV, you will contribute to the research themes of the Photosymbiosis team led by Johan Decelle (https://photosymbiosis.com/), to apply cryo-ET on symbiotic organisms. You will