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Field
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to constrain the physics involved in the formation of gravitational wave sources through the study of intermediate evolutionary stages that can be constrained through electromagnetic observations. The candidate
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well as a passion for quantitative-biology and synthetic-biology research. The ideal candidate should have a recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics
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undergraduate students. The ideal candidate will have a Bachelor’s degree in Biology, Genetics, Bioinformatics, Evolutionary Biology, Microbiology, or a related field, and a strong background in microbiology
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from archaeological ceramics to determine the evolutionary trajectories and adaptation mechanisms of the isolated bacteria under anthropogenic influences. Advances in ancient DNA techniques have
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suitable evolutionary models Development and implementation of novel phylogenetic approaches, including those implementing protein structural information. Where to apply Website https
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, Bioinformatics, Evolutionary Biology, Microbiology, or a related field, and a strong background in microbiology, microbial genetics, natural product chemistry, or related fields, and hands-on experience with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
at the University of North Carolina at Chapel Hill is seeking a highly motivated Postdoctoral Research Associate to investigate the evolutionary mechanisms that shape the pathogenicity and drug resistance
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Postdoctoral Associate - Ecology and Evolutionary Biology Position Function The Babonis Lab at Cornell University seeks to hire a motivated postdoctoral associate who will use a broad range of
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the transmission dynamics of parasitic infections and the evolutionary and genetic processes that shape their epidemiology. The postdoctoral fellow will contribute to NIH-funded projects aimed at developing and
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the Integrated Plant Protection group, we aim to generate knowledge towards the development of sustainable pest and disease management solutions based on conceptual theory and empirical eco-evolutionary, molecular