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on these light-triggered reactions of deprotonated keto acids. This position is connected to the theoretical part of this project and will involve the use of excited-state dynamics simulations for (microsolvated
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molecular dyamics simulations is essential. Experience with nuclear magnetic resonance methods (MAS-NMR, PFG) and electrochemical methods, and methods to characterise lithium diffusion and transport
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to an abundance of point defects, which change the mechanisms by which plastic deformation occurs, and empirical data are limited. In this project, you will use classical molecular dynamics simulations to study the
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/molecular biologist with a PhD in Cell/Molecular Biology, Chemistry, Biochemistry or related disciplines. The purpose of this role is to conduct a specified programme of research as a Post-doctoral Research
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and/or OpenMM. Experience in developing coarse-grained models, polymer models, and/or in developing and applying Molecular Dynamics and/or Monte Carlo simulations to biomolecular systems or condensed
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study of complex fluids or granular matter. Furthermore, excellent communication and organizational skills are required. Experience in simulation using molecular dynamics, discrete element method and/or
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Oxford, as well as Imperial College London. You will focus on the development of a computational platform to accelerate our ability to engineer biology across scales – from molecular circuits to cellular
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to understand the fundamental biological processes involved in dementia at a molecular level – and to use that knowledge to design new ways to diagnose and treat disease more precisely. About the role: Dr Sarah
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structural biology, molecular dynamics simulations and bioinformatics. You will be involved in managing these multiple server systems, with a particular focus on those for cryo-electron microscopy, structural
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involving structural biology, molecular dynamics simulations and bioinformatics. You will be involved in managing these multiple server systems, with a particular focus on those for cryo-electron microscopy