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Field
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vivo assays with human serum samples (HTA certification required), and in vivo models to study the dynamics of infection. The successful candidate will be supported in applications for PhD studentships
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simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making
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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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of computational chemistry and molecular simulation methods to design, model and investigate protein dynamics and activity. This project uses molecular simulations to investigate protein structure, dynamics
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chemistry and molecular simulation methods to design, model and investigate protein dynamics and activity. This project uses molecular simulations to investigate protein structure, dynamics, interactions and
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complex inherited traits; reconstruction and analysis of metabolic networks; dynamic simulations of cellular networks; image analysis and interpretation. Associate Research Scientists will work
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to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You have previous
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these proteins and understand their biology in health and disease. This requires a thorough understanding of the molecular tools and analyses available to study protein pharmacology in the context of cell biology
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integrated research in computational, information and experimental sciences. (1) Development of molecular dynamics simulation model of network formation by free radical polymerization in an extension