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, there is no consensus 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
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a cutting-edge project unraveling the molecular dynamics of phage-bacteria warfare to combat antibiotic resistance! The project aims to study fundamental molecular mechanisms of how phages interact
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environment featuring a wide range of research activities, including QM/MM simulations, ionic liquid simulations, and excited-state characterization. The aim of this PhD thesis is the atomistic modeling
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and communicate their research clearly and effectively. Preferred Additional Skills: Familiarity with the PyTorch Geometric library. Experience with molecular dynamics simulations or molecular docking
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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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powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids
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will be trained in a variety of powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models
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powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids
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! You will demonstrated expertise in developing machine-learning interatomic potentials (MLIPs) for large-scale molecular dynamics (MD) simulations of materials. Together, we will push the boundaries
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criteria: a MSc degree in (molecular) biology, or a related discipline (obtained, or expected in the near future); demonstrable experience with basic molecular biology techniques; affinity for (or ideally