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the reach of traditional molecular simulations. Therefore, this project will apply adaptive kinetic Monte Carlo simulations to model zeolite formation as a dynamic network of growing and dissolving clusters
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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: The Evolutionary Microbiology lab’s (https://www.ibe.upf-csic.es/evolutionary-microbiology-group ) goal is to study the molecular mechanisms that facilitate adaptation to changing environments, as well as the limits
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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molecular dynamics; • Have skills in (scientific) written and oral communication and want to apply these skills to share research findings in scientific meetings/conferences and journals; and • (Preferably
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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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schemes. Building ion trapping setup for Ca+ ions. Learning/operating fabrication and characterization equipment e.g. STM. Simulating fabrication methods. Collaboration with other groups at NQCP and
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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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conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht