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Statistics PhD Projects, Programs & Scholarships in New Zealand

We have 8 Statistics PhD Projects, Programs & Scholarships in New Zealand

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  PhD in Computational Evolution
  Prof Q Atkinson, Dr R Bouckaert
Application Deadline: 15 December 2019

Funding Type

PhD Type

Research project introduction. A fully funded PhD scholarship in computational evolution is available in the Centre for Computational Evolution (CCE) at the University of Auckland.
  Phd in Probability at University of Auckland
  Assoc Prof S Harris, Dr J Goodman, Dr G Pritchard
Applications accepted all year round

Funding Type

PhD Type

A PhD project in probability is offered at the University of Auckland, New Zealand, on “Probabilistic analysis of stochastic population models and their genealogies” to be jointly supervised by Assoc.
  Genomics of rapid adaptation: the expansion and evolution of the invasive common myna and common starling in New Zealand
  Dr A Santure
Application Deadline: 6 December 2019

Funding Type

PhD Type

A PhD scholarship, funded by a New Zealand Royal Society Marsden Fund Grant, is available with Dr Anna Santure and Dr Annabel Whibley in the School of Biological Sciences, University of Auckland, New Zealand.
  A Statistical Approach to Understanding the Complexity of Bryozoan Mineralogy
  Dr P Dillingham, Prof D Bryant
Application Deadline: 31 July 2020

Funding Type

PhD Type

The Project. Bryozoans are one of the most mineralogically-complex phyla in the sea. These small colonial invertebrates make hard skeletons from seawater in any of three carbonate minerals, sometimes in various combinations, in response to controls that are intrinsic (phylogeny, development) and extrinsic (environment).
  Mathematics for large-scale inference algorithms in Bayesian demographic analysis
  Prof D Bryant
Applications accepted all year round

Funding Type

PhD Type

This project is part of a major research programme tackling one of the major open challenges in data science. how to merge existing machine learning (ML) tools, which are fast but fallible, with Bayesian approaches, which are the gold standard but computationally unobtainable.
  Spatial models for muscle fibre data
  Dr TM Davies, Dr M Schofield
Applications accepted all year round

Funding Type

PhD Type

In humans and other mammals, individual muscle fibres can be broadly classified into two distinct categories — "slow contracting" (type I) and "fast contracting" (type II).
  Understanding genome regulation via DNA methylation and enhancer interactions in cancer
  Dr M Parry, Dr A Chatterjee
Applications accepted all year round

Funding Type

PhD Type

Gene expression changes are likely in cancer patients, as well as methylation changes. However, there is a paucity of enhancer data for cancer patients.
  How can epigenetic changes be used to predict and prevent cancer?
  Dr A Chatterjee, Dr E Rodger
Applications accepted all year round

Funding Type

PhD Type

Our lab, led by international leader in epigenetics Dr Aniruddha Chatterjee, combines cutting edge next-generation sequencing, computational analysis, and experimental work to decipher the role of epigenetic modifications and cellular phenotype in cancer.
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