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We are a young, innovative university located in the heart of the Ruhr metropolis in Germany. We pride ourselves on outstanding research and teaching, think in terms of opportunities rather than limitations and develop ideas with a view to the future. Diversity is an integral part of our culture...
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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between individual molecules and cells. The MPI‑CBG shares a research faculty with the Center for Systems Biology Dresden (CSBD ), integrating expertise in biological physics, mathematics, and computer
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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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W3-Professor or W2-Professor with tenure track to W3 for Theoretical Physics – Relativistic Astrophy
, astronomy and/or computational physics. These activities should be strengthened and expanded, in particular with respect to coordinated funding programs, while additional, new initiatives are welcome
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& Computer Science at the University of Bayreuth is currently seeking to appoint a Full Professor of Analysis at salary grade W3 to commence on 1 October 2026. This is a permanent civil service position. We
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably
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training program in and beyond the fields mentioned above. REQUIREMENTS: An ambitious Ph.D. student with strong interest in working in our multidisciplinary team A state examination degree in pharmacy or
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and