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Field
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molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top candidates using high-throughput bacterial systems and
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calculations and Brownian Dynamics simulations. The group is looking for a highly motivated and driven postdoctoral researcher to contribute strongly to a wave of ongoing developments deploying this technology
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molecular dynamics, docking (e.g., IFD), metadynamics, and free energy perturbation (FEP) techniques. Construct and contribute to the development of software tools for simulation and analysis. Integrate and
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Description Department of Veterinary and Animal Sciences Faculty of Health and Medical Sciences University of Copenhagen We seek to appoint a highly motivated and dynamic post doc with interest in neonatology
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and MSc students. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme
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network of universities and research centers around the continent to link real field issues with up-to-date science. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular
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behavior within the storage system to optimize design and performance. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by