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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability
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workshops Possibility for further scientific and technical training through international experts Exceptional research infrastructure Flexible working hours 30 days of annual leave A large research campus
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Zeppelin airship Apply advanced data analysis methods, including statistical tools and programming, to large multidimensional datasets from chamber and airborne experiments Present your results
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) mixtures under various atmospheric conditions in the large atmospheric oxidation chamber SAPHIR Conduct airborne aerosol measurements onboard a Zeppelin airship Apply advanced data analysis methods
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crystalline materials contains the information on dynamic and static disorder. Relating this information to the underlying structural disorder is a challenging task, particularly in the case of single crystal
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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interdisciplinary journals and conferences, and contributing to open-source research software. The developed methods will be validated using large-scale electron microscopy data from collaborative research projects
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, catalysis studies - in particular electrocatalysis and Python programming Experience within the following fields is highly beneficial: Transmission electron microscopy, Electrochemistry, Image analysis, Big
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test