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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationJülich Application Deadline07 Nov 2025 Starting Dateas soon as possible Content Navigation Overview Description Required...
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nitrogen economy and addressing one of today’s most urgent environmental and energy challenges: https://www.fz-juelich.de/de/iet/iet-1. We are offering a PhD Position – Design and Integration of Efficient
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collaborations. That’s why our projects are designed specifically to benefit from collaboration among scientific experts from various fields and disciplines, enabling you to benefit from the combined supervision
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interdisciplinary collaboration. That’s why our projects are designed specifically to connect diverse scientific fields and foster cross-institutional collaboration, enabling you to benefit from the combined
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Oct 2025 Financing yes Type of Position Full PhD Working Language German English Required Degree Magister (Masters degree course) Master Areas of study Environmental Design, Landscape Design, Economic
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. About your role: Develop improved physical models of the image formation process in holographic X-ray imaging Design and implement reconstruction algorithms for handling large-scale tomographic data from
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and development in the field of software engineering for dependable and safe automated driving systems. Conception, design, and implementation of software architectures and prototypes in
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of creative breakthrough." The methodology combines detailed case studies, comparative pattern analyses, and quantitative data evaluation with interdisciplinary perspectives from medicine, biology, chemistry
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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bioprocesses. You will contribute to developing and applying novel modeling strategies, AI-enhanced simulations, and computational workflows to explore biological complexity and design solutions for a