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simulations (i.e., molecular dynamics and/or Monte Carlo methods) or liquid state theory (e.g., classical density functional theory) is highly desirable. Potential topics of research include: Understanding
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PhD in computational chemistry or related subject. Experience in molecular simulations (i.e., molecular dynamics and/or Monte Carlo methods) or liquid state theory (e.g., classical density functional
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, optical and magnetic tweezers) together with in-house molecular biology and biochemistry. Studying the dynamics of DNA and RNA replication at the single-molecule level requires broad and integrated
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or Biomaterials Science with expertise in peptides, peptide synthesis and use of AI (machine learning, molecular dynamics) for the design, synthesis and simulation of antimicrobial peptides/proteins interactions
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students; About the project During our lifetimes, we copy approximately a lightyear’s worth of DNA, and how the different components of the molecular machinery (the replisome) work together to achieve
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to accurately predict the transport of nanoparticles in human blood, as well as simulate their attachment to cancer cells and subsequent drug release. Expertise in Molecular Dynamics, Dissipative Particle
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closely allied discipline, have extensive experience of studying protein structure/dynamics (e.g. by X-ray crystallography, NMR, cryo-EM, molecular dynamics simulations, mass spectrometry), and strong
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subject. Experience in molecular simulations (i.e., molecular dynamics and/or Monte Carlo methods) or liquid state theory (e.g., classical density functional theory) is highly desirable. Potential topics
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to study molecule polarisation and response to external electrostatic fields; reactive molecular dynamics simulations (ReaxFF-MD), to investigate large systems of molecules and their response to electric
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predict the transport of nanoparticles in human blood, as well as simulate their attachment to cancer cells and subsequent drug release. Expertise in Molecular Dynamics, Dissipative Particle Dynamics