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the underlying principles. For us, it is equally important to study the impact of materials on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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, while preserving ultimate precision in single-molecule localization and access to key photophysical parameters (fluorescence lifetime, brightness, molecular dynamics). This approach paves the way toward
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papers and reports. We are looking for: Ph.D. in Chemistry/Physics/Materials Science, or similar fields. Density Functional Theory, Molecular Dynamics (ab-initio MD and/or nonadiabatic MD), Kinetic
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vibrations), and structural (migration of atoms) effects with an atomistic resolution. This can be achieved by self-consistently coupling molecular dynamics (MD), density-functional theory (DFT), and quantum
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to scientific research papers and reports. We are looking for: Ph.D. in Chemistry/Physics/Materials Science, or similar fields. Density Functional Theory, Molecular Dynamics (ab-initio MD and/or nonadiabatic MD
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. Department: Randall Cell & Molecular Biophysics. Contact details:Maddy Parsons. maddy.parsons@kcl.ac.uk Location: Guy's Campus. Category: Research. About Us The Parsons Group, King’s College London , has
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 2 months ago
properties and a variety of potential applications. Application of the molecular dynamics methods combined with the approach based on the thermodynamic models of multicharged surfactant adsorption can provide
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, high-throughput simulations, molecular dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be
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experience with DFT codes will be very highly valued. • Knowledge of chemical reactions and how to model them through computer simulations is highly valued. • Knowledge of classical molecular dynamics