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Field
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interactions. • Integration into established national and international research networks and opportunities to present your work at leading scientific conferences. • The opportunity to publish your research in
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project in atmospheric chemistry and to work with custom-built laser spectroscopy instrumentation Experience in data analysis using mathematical script languages or Python Excellent teamwork and
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Systems - Jülich Systems Analysis (ICE-2) is the unbiased, scientific investigation of technologies, technology paths, value chains and market ramp-ups in future energy systems, considering material
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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skills (e.g., numerical methods, statistical analysis, coding, data management) Good communication skills Ability to work in a team Driving license category B desirable (access to field sites) Your Tasks
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analysis, we will investigate the cardiac immunometabolic network regulating cardiac fibrosis. Additionally, the candidate will have the opportunity to apply for grants supporting further research work
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model outputs to their source documents Contribute to the design and analysis of simulation-based reader evaluations together with clinical partners Publish results at leading venues and present
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of the PhD programme is to ensure that the doctoral student is proficient in various methods of linguistic data collection and analysis and can therefore use these methods in a critical and reflective way. All
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17.05.2026, Academic staff In networks of robots and unmanned aerial vehicles, the ability to exactly coordinate the observations of the different devices is key for successfully carrying out
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16.05.2026, Academic staff For applications in networks of robots and unmanned aerial vehicles, reliable coordination is essential. Such systems are particularly vulnerable to jamming and