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airport PhD Projects, Programs & Scholarships

We have 16 airport PhD Projects, Programs & Scholarships

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  Analysis of termite vibration signatures to innovate stealthy hexapod gait pattern
  Dr S Oberst
Applications accepted all year round

Funding Type

PhD Type

This is a collaborative project between the Defence Science and Technology Group and a private. company. This project will sit with the.
  Controlling noise from gas turbines
  Assoc Prof R Kirby
Applications accepted all year round

Funding Type

PhD Type

Controlling noise from gas turbines. Duration. 3 yrs. Enquiries. Ray Kirby (Director of UTS Tech Lab) - please contact before applying.
  Lowering noise radiation from gas turbines exhaust systems
  Assoc Prof R Kirby
Applications accepted all year round

Funding Type

PhD Type

Lowering noise radiation from gas turbines exhaust systems. Duration. 3 yrs. Enquiries. Ray Kirby (Director of UTS Tech Lab) - please contact before applying.
  Natural porous vibro-acoustic media
  Dr S Oberst
Applications accepted all year round

Funding Type

PhD Type

The Centre for Audio, Acoustics and Vibration (CAAV) was formed in 2017 and now has nine full time academic staff. The Centre is based at Tech Lab, which is a brand new research led facility that is close to the airport in Sydney.
  IMPRS "From Molecules To Organisms”: Next application opens January 2020

Funding Type

PhD Type

Our PhD program in the life sciences places special emphasis on interdisciplinary interactions. We want to train the next generation of scientists to study complex biological processes that cannot be adequately understood within the limits of a single discipline.
  Ecological Forecasting Research in Micro-Ecosystems
  Research Group: Petchey Group: http://www.ieu.uzh.ch/staff/professors/petchey.html
  Prof O Petchey
Application Deadline: 30 November 2019

Funding Type

PhD Type

PhD position (4 years 60 % available). Owen Petchey’s research group University of Zurich. The position is funded by the project Advancing the limits of ecological forecasting in changing environments using very long-term experimentation with micro-ecosystems.
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