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Data Analysis PhD Projects in New Zealand

We have 6 Data Analysis PhD Projects in New Zealand

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  Decision Automation for Orchards and Vineyards
  Prof A Werner
Applications accepted all year round
Decision Automation for Orchards and Vineyards is an interdisciplinary and transdisciplinary project on sensing and understanding of high-value fruit canopies in commercial orchards or vineyards to learn and train AI-tools of manual activities from experienced staff with the intention to support decision making of staff and later robots.
  Integrating online user feedback to identify software product development insights
  Dr K Blincoe
Applications accepted all year round
There is an ever-increasing amount of user feedback available online. Software users tweet about their frustrations, leave reviews in app stores detailing their opinions of the software, and more.
  Solving electromagnetic inverse scattering problems in the presence of uncertainty
  Dr A Austin
Applications accepted all year round
Background. Inverse scattering problems arise when electromagnetic waves are used to image ‘hidden’ objects, e.g., buried landmines, underground oil reserves, or tumours in the body.
  Developing Nanosatellite Synthetic Aperture Radar
  Dr J Cater, Dr N Rattenbury
Applications accepted all year round
The Faculty of Engineering and the Faculty of Science are jointly developing a space systems programme at The University of Auckland.
  High-resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing
  Dr SJ Waddell, Dr R Clare
Applications accepted all year round
The research project is concerned with development and implementation of signal and image processing algorithms for predicting a distortion function when viewing an artificial satellite or large space debris objects thorough atmospheric turbulence and with the aid of a 60 cm to 100 cm optical telescope.
  Discovery and characterisation of new antibiotics from uncultivated microbes.
  Dr J Owen
Applications accepted all year round
Recent developments in DNA sequencing technology have greatly enriched our understanding of the microbial world. By directly sequencing DNA extracted from communities of environmental microbes, we have been able to observe a hidden majority of microbial species that cannot be readily grown in the laboratory.
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