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Social Science & Health PhD Projects, Programs & Scholarships in New Zealand

We have 7 Social Science & Health 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.
  Adult outcomes after antenatal steroids
  Prof JE Harding, Prof CA Crowther
Applications accepted all year round

Funding Type

PhD Type

The Liggins Institute at the University of Auckland has PhD projects assessing adult outcomes after antenatal steroids. Steroids given to women at risk of preterm birth markedly reduce the risk of serious illness in their newborn babies.
  Childhood outcomes after early nutritional interventions
  Prof JE Harding, Dr C McKinlay, Dr JA Brown, Assoc Prof T Wouldes
Applications accepted all year round

Funding Type

PhD Type

The Liggins Institute at the University of Auckland has a PhD project assessing childhood outcomes after early nutritional trials.
  Visual and brain development in children with early risk factors
  Prof JE Harding, Prof B Thompson
Applications accepted all year round

Funding Type

PhD Type

A PhD position in the area of children’s visual development is available within the University of Auckland, New Zealand in collaboration with the University of Waterloo, Canada.
  Identifying new therapeutic targets for diabetic heart disease
  Dr K Mellor
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a PhD student to work in the field of cellular and molecular cardiac research in the Department of Physiology, University of Auckland.
  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.
  Numerical modelling of sediment transportation and surface roughness on vegetated coastal dune systems
  Assoc Prof S Wakes
Applications accepted all year round

Funding Type

PhD Type

Coasts and coastal communities around the world are vulnerable to sea level increases and intensity of storm events. Vegetated sand dunes are relied upon for protection, buffering coastal communities from the sea.
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