Sort by
Refine Your Search
-
to explore the elastic tuning of collective states in Kagome quantum materials. The successful candidate will employ high-resolution X-ray diffraction in combination with electrical resistivity
-
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
-
well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
-
or retain functions, and how these processes contribute to the evolution of agronomically important traits in domesticated plants. By combining comparative genomics, evolutionary analyses, and computational
-
methods that allow such models to safely adapt after deployment while maintaining reliability and efficiency. A central research direction is test-time adaptation for multimodal foundation models, combined
-
will investigate the distribution, sources, and characteristics of micro- and nano-plastics in hadal sediments. The work will combine deep-sea sediment sampling with advanced analytical approaches
-
eager to integrate into the existing team and take on responsibility. We offer: intensive mentoring in an attractive scientific environment combined with an excellent infrastructure the project promotes
-
cell cycle machinery. This project will combine live-cell imaging, phosphoproteomics, and metabolite profiling to unravel the complexity of phytohormonal regulation at the cellular level. Your profile
-
position will be supervised by Prof. Noomane Ben Khalifa (Hereon/Leuphana University Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and
-
Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
chemistry and process engineering. We are looking for talented people to join us. In this project, neural operators are combined with classical numerical methods to enable the efficient approximation and