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PhD Candidate in Modelling Marine Larval Dispersal and Spatial Population Genetics and Demography

Empresa sin especificar

Noruega📅 23/9/2026

Descripción

This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: https://www.youtube.com/watch?v=_KHQjc4ndas&t=41s About the position A fully-funded PhD position in modelling marine larval dispersal and spatial population genetics and demography is available at the Department of Biology, Norwegian University of Science & Technology (NTNU) under the supervision of Associate Professor Scott Burgess . NTNU’s Department of Biology hosts internationally leading research activity in ecology, evolutionary biology, physiology, marine science and technology, and cell & molecular biology. As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia. About the project The PhD position is aligned with a research program that has the overall aim of providing new understanding of the processes that affect marine larval dispersal and gene flow, how we measure it with genetic data, and how we use that information to predict the genetic and demographic responses of spatially structured marine populations to environmental variation and change. Specifically, the primary focus of the PhD will be to understand how complex coastlines, ocean circulation, and biology (e.g., reproductive systems and phenology, larval behavior and survival) interact to affect the spatial structure of the genetic and demographic properties of marine populations. There is flexibility, and an expectation, for candidates to develop their own line of research within this broad scope. For example, projects could focus on combining simulations using spatial-
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