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of magnetic interaction, and predictions for how to distinguish them observationally. - Design and submission of observing proposals, including target selection from the interaction candidates identified within
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07.09.2026 Application deadline : 31.10.2026 The Project Regulation of Pattern Scaling in Plant Stem Cell Niches at the Center for Plant Molecular Biology, University of Tübingen, Germany is
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condensate organisation and transcription shape each other. Working with a chimeric T7::CTD polymerase, your tasks are roughly centred around: - designing and building barcoded and multi-compartment DNA
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the possibility of extension. Plant immunity relies on pattern recognition receptors (PRRs) for the detection of invading pathogens, with leucine-rich repeat receptor-like proteins (LRR-RLPs) representing one
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Munich form one of Europe's leading centers for biomedical imaging and sensing innovation. Our mission is to create transformative technologies that reveal previously inaccessible biological information
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generation of interactive communities between life-like artificial and living matter. The central question is whether life-like artificial/synthetic cells can coexist, communicate, and cooperate with mammalian
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concrete. About us Digital Structures with Mineral Materials is a new professorship at the TU Munich, focusing on the de-velopment of structural engineering, design, analysis and modelling methods
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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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Medical Imaging (IBMI) at Helmholtz Munich form one of Europe's leading centers for biomedical imaging and sensing innovation. Our mission is to create transformative technologies that reveal previously
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 21 days ago
interacts with the prefrontal cortex to integrate interoceptive signals and guide higher-order cognition. Combining ultra-high-field layer fMRI at 9.4 Tesla, diffusion MRI, and machine learning in humans with