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of Klebsiella, a clinically important pathogen. Combining eco-evolutionary theory, lab experiments, and genomic sequencing, you will help build and validate a model predicting how antibiotic selection shifts with
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of the most diverse receptor families. The overarching goal of our project, REVALUTION, is to re-evaluate ambiguous ligand–receptor interactions in an evolutionary framework. In close collaboration with
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only laborious and time-consuming, but also cover only a miniscule fraction of the unimaginably large sequence space available. As a result, means to guide evolutionary trajectories along a biomolecule’s
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taggants with enhanced functionality and detectability Computational Biology Evolutionary and Functional Genomics of Social Chromosomes Genetics A Microbiome-Based Approach to Target Shared Mechanisms
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Research Institute (IRBio). THE CANDIDATES: We welcome candidates interested in evolutionary developmental biology, genomics, bioinformatics and evolutionary and population genetics. Applicants must hold
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 12 days ago
Master’s degree (by the start date) in biology, ecology, psychology, evolutionary anthropology, or another relevant field. Desirable experience includes observational data collection and behavioralvideo
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 6 days ago
, so enthusiasm for broader science communication is appreciated. This call is open to candidates who have completed a M.Sc. in the natural sciences (e.g., ecology and evolutionary biology, oceanography
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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manufacturing techniques and combines approaches from archaeology, psychology, and cognitive science. The goal of the project is to experimentally investigate the evolutionary significance of transformative Stone