57 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" uni jobs at Forschungszentrum Jülich
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controlled conditions and integrate chip systems with AI-assisted live-cell microscopy for autonomous feedback imaging and data analysis. Contribute to trainings, technology transfer and perform lab rotations
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, intermediate products, and finished products based on, for example, historical trade data ( https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37 ) Analysis of historical developments in material
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proactively maintaining the relevant websites Your Profile: Completed master`s degree in natural sciences, engineering or information technology, preferably with a PhD Experience with the structures
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ONBOARDING & TEAMWORK: You can look forward to working in a dedicated, international, and collegial team. It is important to us that you quickly settle into the team and are given structured training for your
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well as spectroscopic methods to determine their composition, structure, and oxidation-state distribution. In addition, variable temperature and pressure studies will be carried out to probe their structural stability
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users to access AI services and integrate them into their operational workflows. Contribute to engineering best practices (CI/CD, automated testing, documentation, shared tooling), and to open-source
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, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which this position is located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag
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opportunities: https://go.fzj.de/LeadershipCulture In a large research institution like ours, science and administration work hand in hand. Our leadership model ( https://go.fzj.de/leadershipmodel ) provides
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characterization and high-temperature transport measurements. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which this position
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processes based on CO2 and other carbon-rich waste streams enable net-zero CO2-conversions into valuable chemicals. This project aims to design, integrate and optimize metabolic pathways in an engineered C