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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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23.01.2026, Academic staff The Chair of Structural Analysis is seeking a highly motivated research associate (m/f/d) for our research project focused on developing methodologies for high fidelity
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. This will largely advance our still limited knowledge on the intricate mechanisms of CHC perception in particular and on speciation mechanisms mediated by chemosensory evolution in general. The successful
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27.02.2026, Academic staff Cancer kills through metastasis, yet we still cannot reliably predict which patients will develop it or trace metastatic disease back to its origin. As part of the BMFTR
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solutions. To demonstrate these innovations, we develop and operate our own test infrastructure, including ASCENT, our vertical takeoff and landing (VTVL) hopper with a bi-liquid propulsion system, currently
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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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: prepare supported nanocatalysts and perform advanced EC-STM and RDE in situ experiments develop measurement protocols and analyze data contribute to the maintenance and development of the experimental
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and simulation modeling. A quantitative understanding of ecosystem dynamics provides the foundation for the development of robust management concepts for the sustainable provisioning of diverse
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of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential for modern technologies, including