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PhD/Master Graduate Research Assistantship in Quantitative Biogeography

Quantitative Biogeography Lab, Department of Biology, University of North Carolina at Chapel Hill · North Carolina · assistantship · posted 37 days ago

The Quantitative Biogeography Lab in the Department of Biology at the University of North Carolina at Chapel Hill is recruiting PhD/Master students to start in Fall 2027. The research in our lab is data and model intensive; our research commonly involves extensive data analysis and modeling, leveraging big data from biodiversity and environmental databases, employing various modeling techniques, and conducting large-scale computations to explore biogeography and biodiversity patterns at a global or continental scale. For more details about our research themes, please visit [ https://lab.fengxiao.info/research]. Prospective students sharing similar research interests, including biogeography, biodiversity informatics, and ecological niche modeling, are highly encouraged to apply. Graduate students will be supported through a combination of research and teaching assistantships. The University of North Carolina at Chapel Hill is a vibrant center of scientific discovery and innovation, with a commitment to collaboration. UNC faculty, postdocs, and graduate students also routinely interact with colleagues at nearby Duke and North Carolina State Universities, institutions in Research Triangle Park, Highlands Biological Station, the Institute for Marine Sciences, and the Galapagos Science Center. The quality of life in North Carolina’s Triangle area is consistently rated among the highest in the nation. Interested students are encouraged to send me the following information via this link [https://forms.gle/i2oQGdUmQkxau6Ci6]. ● A 1-2 page cover letter (please explain your research interests, why you are interested in joining, and your experience working with programming/statistics/data science); ● Your most recent CV, including contact information for three references; ● PDFs of writing samples (e.g., peer-reviewed article, thesis, essay, preprint; up to 3)

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