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on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and desorption mechanisms of various
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nm) and over long timescales (10-100ps). To meet these objectives this project aims to further develop our recently introduced non-adiabatic molecular dynamics simulation method, termed excitonic state
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an enthusiastic, proactive, and collaborative biologist to join Prof Witney’s Group in the School of Biomedical Engineering & Imaging Sciences, King’s College London. You will join a dynamic and successful
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focus of their work is the role of protein dynamics and quantum mechanics during enzyme catalysis. Much of the work involves computational chemistry, often combing molecular dynamics (MD) simulations with
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About the project: Fast and Flexible Nested Sampling via Collective Move Dynamics for Molecular Systems Supervisor: Dr Livia Bartók-Pártay, University of Warwick Organic matter encompasses a range
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behaviour as the temperature drops, combining quantum mechanics, large-scale molecular dynamics, and deep learning. Work with world-leading researchers at Warwick and the Max Planck Institute for Sustainable
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developing next-generation technologies. In this PhD project, you will employ atomistic spin-lattice dynamics simulations, a framework that combines atomistic spin dynamics with molecular dynamics
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, machine learning, molecular dynamics, and fluid mechanics. We aim to understand how chemical structure of precursors and process conditions affect film quality, helping design better materials and
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microbiology. It addresses the urgent need for energy-efficient grain storage solutions in the context of climate change and Net Zero commitments. By integrating thermal dynamics, moisture migration modelling
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and Metabolic Medicine (LICAMM), a centre of excellence that integrates molecular, cellular, and clinical approaches to tackle major health challenges. University of Bern(Prof. Dominik Obrist