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well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and follow quantitatively
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the emerging field of Geophotonics — a novel paradigm that explores the interaction of light with natural crystalline materials to decode the dynamics of Earth's surface. The positions offer a unique opportunity
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theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
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to help revolutionizing the future of food safety practice, one that’s safer, smarter, and quicker? We are looking for a highly motivated PhD student to join our dynamic, interdisciplinary research team in
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. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme-substrate
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of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them
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) technology with innovative biomaterial systems and cell therapy approaches. The successful candidate will join a dynamic research team with extensive expertise in RNA biology, drug delivery, and translational
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automation Earth processing Computational fluid dynamics Numerical process modelling Rheology Furthermore, the candidate should be motivated to work collaboratively as part of a team. You must have a two-year
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) the development of a holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3