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host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods, and single-molecule live-cell imaging
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fibrous scaffolds that replicate the native ECM network, we can systematically investigate how different cell types respond to defined microenvironments. Your tasks Fabricating hydrogel-based fibrous
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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will investigate the underlying contribution of cell-type specific projections within hippocampal-cortical circuits in mice and characterize the synaptic changes within long-range versus local cortical
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an interdisciplinary consortium studying the “GEvol: Genomic Basis of Evolutionary Innovations (GEvol)” (Priority Programme, SPP 2349 funded by German Science Foundation (DFG)). We are recruiting a highly motivated
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experience with NGS data, R, another programming language is a plus Experience with formulating scientific questions, planning and executing a research project Very good English communication skills, curiosity
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programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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leading to cell death upon pathogen recognition. A recent evolutionary model proposes that NLRs have evolved from single units (singleton NLRs) able to both detect and respond to the presence of pathogen
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX