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Field
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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phylogenetic and adaptive signals, providing a rich fossil record for evolutionary studies. This project integrates fossil and extant data using morphological phylogenetics and advanced tip-dating methods
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field experiments Data curation and analysis Preparation of manuscripts and grant proposals Qualifications PhD in Ecology and Evolutionary Biology or closely related field. Position Type Research
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: 279395625 Position: Postdoctoral Research Associate Description: Ecology and Evolutionary BiologyPostdoctoral Research AssociateThe Department of Ecology and Evolutionary Biology has postdoctoral associates
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. The position is suitable for candidates with a background in evolutionary biology, animal physiology, molecular biology or quantitative ecology, with an interest in applying this knowledge to address new
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homogenization and convergent evolution. We are interested in understanding the molecular and evolutionary mechanisms that generate and maintain genomic diversity of these genes. For lab details see:https
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preparation in the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala
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the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala University
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of sustainable pest and disease management solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current and evolving plant production systems
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and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current and evolving plant production systems. For more information about the department or division visit: https