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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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Description 3 x Academic Researcher (m/f/d) (TV-L E 13, 100%, Service Location: Clausthal-Zellerfeld) The research group Dependable and Autonomous Cyber-physical Systems (DACS) at the Institute
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at the host-virus interface. Our central methodologies are solution NMR, crystallography and SAXS, together with a broad method spectrum from biochemistry and biophysics. In this project, we plan to analyze
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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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according to the German TV-L13 65% and additional benefits such as a pension plan. Although the position is fully funded, we fully support your applications for career advancement grants or PhD research
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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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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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applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as