Statistics (molecular ecology) PhD Projects, Programmes & Scholarships

We have 3 Statistics (molecular ecology) PhD Projects, Programmes & Scholarships

Accelerating molecular phylogenetic inference using high performance computing.

University of Reading Department of Ecology and Evolutionary Biology

Project Overview. Molecular phylogenetic inference, constructing evolutionary histories from molecular data, is an activity universal to all biological disciplines. Read more

Supervisor: Dr A Meade

Year round applications PhD Research Project Self-Funded PhD Students Only

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Exploring synergies between statistical ecology and statistical genomics

University of St Andrews School of Mathematics and Statistics

Research Group: Division of Statistics

While superficially different, these two areas of research share several questions in common (How many species? How many of each species? How are the species distributed spatially? How should we sample?) that differ fundamentally only in whether the species in question are flora and fauna or nucleic acids and proteins. Read more

Supervisor: Dr H Worthington

Year round applications PhD Research Project Competition Funded PhD Project (Students Worldwide)

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Stochastic simulation, analysis, and inference of non-linear dynamical systems

University of St Andrews School of Mathematics and Statistics

Research Group: Division of Statistics

This project will develop a novel framework for studying the dynamics of systems presenting oscillations and multi-stabilities. This type of dynamics is abundant in many fields and especially in molecular biology, epidemiology, ecology, sociology. Read more

Supervisor: Dr G Minas

Year round applications PhD Research Project Competition Funded PhD Project (Students Worldwide)

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We have 3 Statistics (molecular ecology) PhD Projects, Programmes & Scholarships

Statistics (molecular ecology) PhD Projects, Programmes & Scholarships

We have 3 Statistics (molecular ecology) PhD Projects, Programmes & Scholarships

Accelerating molecular phylogenetic inference using high performance computing.

Exploring synergies between statistical ecology and statistical genomics

Stochastic simulation, analysis, and inference of non-linear dynamical systems

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