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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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, making a new model which is suitable for a variety of polymer systems. This will involve integrating molecular dynamics simulations, electronic structure calculations, and machine learning techniques
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biochemical and molecular biology approaches, DNA and RNA sequencing and CRISPR-based genome editing to investigate the relationship between genome dynamics and topoisomerase activity. The PhD program at
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thesis on a topic relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage. You possess: A successfully completed MSc degree in
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relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage. You possess: A successfully completed MSc degree in computer science
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and single molecule assays to understand how topoisomerase regulation affects fundamental nuclear processes (key lab references: Baranello et al. Cell 2016; Wiegard et al. Molecular Cell 2021; Das et al