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uses long timescale molecular dynamics (MD) simulations, integrated with experimental observables (especially cryo-electron microscopy data), and machine learning tools to better capture the dynamics
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out numerical modelling for molecular dynamics simulation, will have experience in laser processing or other shockwave processing techniques, and will have a sound understanding of solid-state chemistry
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within a Research Infrastructure? No Offer Description The Role Applications are invited for the post of Research Fellow in the area of Mixed Quantum-Classical Dynamics based at the University of Surrey
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simulations, particularly Monte Carlo simulations and molecular dynamics simulations. Ability to code and run simulations on supercomputers. The College of Science seeks a diverse and inclusive workforce and is
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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and act as team leader as required. Applicants will be able to carry out numerical modelling for molecular dynamics simulation, will have experience in laser processing or other shockwave processing
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cellular and/or tissue models. Experience in analyzing and interpreting complex datasets, including imaging, molecular, and quantitative biological data. The following may be considered assets: Experience in
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(GHGs), by greatly improving the accuracy of spectral line data, traceable to the International System of Units (SI). The candidate will develop molecular dynamics simulations to investigate refined
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will join a dynamic, interdisciplinary team exploring the frontiers of mass spectrometry imaging and molecular modelling. As our Research Fellow, you will lead the computational arm of a Leverhulme Trust
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binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting Postdocs that wants to use and develop state of the art methods