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populations from New Guinea using museomic data Assembling high-quality reference genomes and generating whole-genome resequencing data of avian skins Inference of evolutionary history using Ancestral
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, Microbiology, Evolutionary Biology or equivalent Practical experience with bacterial cultivation techniques (familiarity of BSL-2 biosafety protocols) Proficient in working under sterile conditions Ideally
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to work independently and as part of a team Strong organizational skills and attention to detail We offer A challenging interdisciplinary research project at the interface of evolutionary biology, ichnology
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) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
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motivated applicant to join the working group of Prof. Dr. Axel Janke. The applicant is expected to be closely involved in evolutionary, population or phylo-genetics to study speciation in mammals (bears
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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific