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technical facilities for your work, ranging from high-performance computing and advanced imaging platforms to specialized experimental facilities. Networking and exchange: You will participate in
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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labs) Intensive scientific supervision and interdisciplinary collaboration within the project consortium Opportunity to pursue a PhD in cooperation with a German university A structured PhD program with
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Willingness to familiarise yourself in depth with new topics in the fringe area between algorithm development, high-performance computing and experiment Good problem-solving skills Willingness to work in teams
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posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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the impact of experimental parameters on ptychography image quality Perform experiments at synchrotron beamlines to validate the results Investigate whether information field theory can be used to quantify
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical