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fellow (m/f/d) in the field of Molecular Microbiology, with 50 % part-time employment – E 13 TV-L HU (third-party funding limited until 29.06.2027; increase in working hours by a further 50 % for
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academic and industrial expertise in epigenetics, mathematical modelling and high-resolution stable isotope labelling based analysis of the dynamics of metabolic cofactors and post translational
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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in 1973 with the aim of understanding fundamental mechanisms of biochemistry, cell and structural biology, biophysics, and molecular medicine. Machine learning and bioinformatics play an increasingly
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emphasis on colloidal systems, molecular recognition, and functional nanostructured materials for life science applications. The successful candidate will contribute to research activities associated with
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of the CTAO medium sized telescope (MST) pathfinders to be deployed in Chile. Specifically, the candidate shall work in the areas of performance measurements, data analysis and simulation models. Besides
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simulations Behavioral experiments with human-AI hybrid groups Advancing the theoretical understanding of human-AI co-evolution Your work will extend the portfolio of our research, including: Cooperating with
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: Dynamics of water and ligand molecules on nanoparticle surfaces via neutron spectroscopy (JCNS-3) The project involves hands-on participation in experiments at large-scale facilities, laboratory-based
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on understanding and controlling the formation and interactions of soft materials at the nanoscale using principles of molecular self-assembly. We harness a broad range of building blocks – including polymers
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optics. Our research explores fundamental and timely questions in non-equilibrium dynamics, periodically driven (Floquet) systems, anyons and exotic quasiparticles, and low-dimensional quantum many-body