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with us! Project description: Ability to study protein dynamics real-time is crucial for understanding biological processes at the molecular level, providing insights into protein function, interactions
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staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . The Elf group works across traditional disciplinary boundaries
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partnership between academia and industry to drive research and development forward. Project description This project aims to develop unsupervised machine learning methods for extracting dynamical models
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in both lithium and sodium batteries. The goal is to understand how different design and material choices link to structure, dynamics and performance. A special focus is on solvent-free electrolytes
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. Possible research directions include new type systems or static analyses that extend the range of memory-safe programming and new dynamic techniques for memory safety. The third project is centered around
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used. The cell chemistry and design differ from sodium to magnesium, calcium, and aluminum, but common to all is how different choices relate to the resulting structure, dynamics, and performance
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spectroscopies (specifically photoelectron spectroscopy) with time-resolved and operando measurements. Such methods can give insights into the dynamics and energetics of the photon-to-electron conversion process