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Botany / Plant Science (computer) PhD Projects, Programs & Scholarships

We have 5 Botany / Plant Science (computer) PhD Projects, Programs & Scholarships

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  Regenerate or Replace: Understanding the logic of plant decisions after tissue damage
  Prof B Scheres, Dr V Grieneisen, Prof J Murray
Application Deadline: 20 January 2020

Funding Type

PhD Type

The process of rebuilding tissue after damage is a complex problem of 3-dimensional organization to regenerate structures that were originally laid down in development.
  From branch to forest to globe: How do trees choices regarding growth affect forest responses to increased carbon dioxide levels?
  Dr T Pugh, Dr J Larsen, Dr B Smith, Prof B Medlyn
Application Deadline: 10 February 2020

Funding Type

PhD Type

Forests of the future will be subjected to levels of carbon dioxide for which there is no analogue in the current world.
  SCENARIO - Understanding Acute Oak Decline using X-ray micro-tomography and leaf reflectance: linking reduced tree water transport capacity to changes in xylem and leaf cellular structure.
  Dr F Gerard, Dr G Barrett
Application Deadline: 24 January 2020

Funding Type

PhD Type

First recorded in the UK in the early 1900’s, Acute Oak Decline (AOD) is widely recognised as a threat to native English oaks. Outbreaks of disease have gone through several historic and distinct episodes with the current, ongoing spread having started around 2002.
  Development of Agri-diagnostic techniques for early detection of below ground crop diseases using integrated sensing approaches (IAF2007)
  Dr A Prashar, Dr T Prior
Application Deadline: 14 February 2020

Funding Type

PhD Type

Physiological characters (e.g photosynthesis, plant nutrition and hormonal functions etc) are excellent indicators of many traits (e.g.
  Design of Experiments
  Research Group: Division of Statistics
  Prof R Bailey
Applications accepted all year round

Funding Type

PhD Type

A topic in design of experiments, to be decided between the student and the supervisor. It could focus on methods for constructing particular types of design; methods of, and problems in, randomization; two-phase experiments; experiments in a particular area of application..
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