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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via
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an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and
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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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environment within the Collaborative Research Centre TPChange program funded by the German Research Foundation and the European Research Infrastructure IAGOS Opportunities to attend conferences abroad and visit
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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required (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ) Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively
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strong interest in foundational machine learning research and its application to real-world scientific problems. You should bring: A completed university degree (Master or equivalent) in computer