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to accelerate therapeutic development for brain disorders, leveraging stem cell-derived organoid models and gene targeting tools. Our recent work demonstrated that stem cell models offer a unique opportunity to
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de
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area of Drosophila neural development: How are stochastic choices made in sensory neuronal development coordinated with the deterministic generation of neuronal diversity in the synaptic targets
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interaction of Mycobacterium tuberculosis with macrophages to explore targets for anti-virulence approaches in tuberculosis drug development. The work will involve establishing and running immunology and
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with animal models. The candidate is expected to develop a highly innovative and effective treatment for these retinopathy by targeting its multiple underlying causes including cellular metabolism
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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models
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team. The appointee will work on interdisciplinary projects related to the development of novel therapeutic agents targeting cancer-related proteins for therapy. In particular, the appointee will utilize
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use