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requirement Experience with data analysis and machine learning models is an advantage Experience from molecular modelling or molecular dynamics simulations is an advantage Applicants must be able to work
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is an advantage Experience from molecular modelling or molecular dynamics simulations is an advantage Applicants must be able to work independently and in a structured manner and demonstrate good
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an interdisciplinary and international team of experts in antibiotic drug discovery, molecular simulations, structure-based drug design, covalent enzyme inhibition, organic synthesis, and medicinal chemistry. We will
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invites applicants for four PhD Fellowships in subsurface characterization within geosciences, reservoir engineering, molecular modelling, and machine learning at the Faculty of Science and Technology
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their final master exam before 15.07.2025. It is a condition of employment that the master's degree has been awarded. Experience from molecular dynamics (MD) simulations is a requirement. Experience with the
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic