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Field
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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collaborating with the mentor, you will investigate evolutionary changes in pathogen populations, assess the role of microbes and host physiology in disease resistance and susceptibility, and evaluate non
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biology, developmental biology, evolutionary biology or a related field at time of hire. Hands-on experience with confocal microscopy. Competence in applied statistics. A record of peer-reviewed publication
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: 285829795 Postdoctoral Research Associate Location: Princeton, NJ Salary Range or Pay Grade: PDRA: $65,000-$67,000 ARS: $66,000 - $75,000 Description The Department of Ecology and Evolutionary Biology has
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directions while helping transform corals into genetically tractable experimental systems. The Gibson Laboratory focuses on the biology of anthozoan cnidarians, combining developmental biology, evolutionary
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Position Overview The Department of Ecology and Evolutionary Biology invites qualified Ph.D. biologists to submit applications, which will be reviewed by individual faculty members and placed in a pool for
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genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds — including those interested in human evolution, building new genomic tools, or analyzing
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patterns of evolutionary conservation—TRIM-based PQC in animals and polyD/E-based PQC across eukaryotes—distinguishing them from established PQC mechanisms. Ongoing studies aim to define the molecular
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, who is excited to contribute to an ambitious international research project. The successful applicant must have: A PhD (completed before the start of employment) in ecology, evolutionary biology
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analysis and preparation of papers for publication. Most of the work in the project is expected to be computer-based, with the focus on evolutionary genetic analyses of genome and transcriptome sequence data