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microscopy. Field observational data constitute high volumes and require data reduction and development of data pipelines. The highly dimensional data will be treated and analyzed by advanced clustering
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science, and two more are for photoemission and electron-ion coincidence studies on gases, clusters and liquids. There is also a port for the user-defined experiments. A description of the beamline can be
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are creating a world-class innovation cluster for the life sciences. For more information about the lab and team, visit www.camunaslab.org and our research profile . 💻 Position 1 – Postdoctoral Fellow in AI
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