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Your Job: In this PhD project, you will shape the future of power system security by harnessing exascale computing. Your research will focus on understanding and enhancing grid resilience under
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Your Job: In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting
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complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich
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extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR
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9 Dec 2025 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Faculty of Engineering Research Field Engineering » Materials engineering Researcher Profile First
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deadline. Where to apply Website https://jobrxiv.org/job/university-of-stuttgart-27778-phd-researcher-intestinal… Requirements Additional Information Work Location(s) Number of offers available1Company
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
To strengthen our team in the department “Analytical Chemistry; Reference Materials” in Berlin-Adlershof, starting as soon as possible, we are looking for a PhD student (m/f/d) in the field
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. The research group Molecular Modeling / Section III are currently looking for a committed PhD Student to start on 15/01/2026. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at the Technical
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University of Munich Qualifications The applicants should possess: An excellent or very-good university degree in Economics Strong analytical and methodological skills with a focus on quantitative data