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evolutionary timescales. Your tasks Compare historical and modern North American peregrine falcon populations using museomic data Assemble high-quality reference genomes from modern tissue samples and generate
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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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, accelerate global biodiversity discovery through open museum data, and unravel the evolutionary history of Annelida – a diverse, ecologically important, and globally distributed but still understudied animal
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degree (or equivalent) in Biology, Evolutionary Biology, Molecular Biology, Bioinformatics or a related field Strong interest in molecular evolution, genomics, epigenetics, and chemical ecology Prior
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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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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a
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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models