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University of Tokyo

MS and PhD openings in evolutionary demography and life history evolution in long-lived plants University of Tokyo in Japan

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

The positions are tied to a JSPS-funded research project. The post does not specify stipend amount, tuition coverage, or whether funding is fully funded, but indicates project funding support.

Country flag

Country

Japan

University

University of Tokyo

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Keywords

Computer Science
Evolutionary Biology
Environmental Science
Biology
Conservation Biology
Mathematics
Plant Ecology
Statistics
Population Dynamic

About this position

The Shefferson lab at the University of Tokyo is recruiting graduate students for a JSPS-funded research project in evolutionary demography and life history evolution in long-lived plants.

This opportunity is open at both the MS and PhD levels. The lab works on plant ecology, evolutionary ecology, population dynamics, conservation of rare plant populations, the evolutionary loss of photosynthesis, and mycorrhizal evolution. Current projects use game theoretical models to study plant population evolution and community dynamics.

Students may focus on these themes or propose related topics in plant or general evolutionary ecology. Typical research methods include in situ monitoring and experimentation, plus modeling and analysis in R and/or C++. The lab also develops computational tools, including the R package adapt3.

The post mentions ongoing field projects in Japan, Estonia, the United Kingdom, and the United States. Interested applicants are encouraged to review the lab website and related project/media links for more information.

No deadline, stipend amount, or direct application portal is stated in the post.

Funding details

The positions are tied to a JSPS-funded research project. The post does not specify stipend amount, tuition coverage, or whether funding is fully funded, but indicates project funding support.

What's required

Applicants should be interested in evolutionary demography, plant or general evolutionary ecology, and computational approaches. Research methods typically involve in situ monitoring and experimentation, combined with modeling and analysis in R and/or C++. The post announces openings at both MS and PhD levels; no specific GPA, language test, or prior degree requirements are stated.

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