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Computer Science & IT PhD Projects, Programs & Scholarships in Sydney

We have 8 Computer Science & IT PhD Projects, Programs & Scholarships in Sydney

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  Bioinspired stealthy hexapod gait pattern
  Dr S Oberst
Application Deadline: 30 April 2019
Topic. Analysis of termite vibration signatures to innovate stealthy hexapod gait pattern. This project will sit with the. - School of Software.
  Coronary artery atlas using deep learning for early risk prediction of heart attacks
  Dr S Beier
Applications accepted all year round
This project will work with the largest dataset of medical images for coronary arteries surrounding the heart in more than 1200 patients.
  Towards personalised coronary artery disease consideration using medical image processing and computational modelling
  Dr S Beier
Applications accepted all year round
This project is highly interdisciplinary, and will involve working with (and extending) a suite of existing software and computational models based on clinical imaging data.
  Computational modelling of solid-state terahertz lasers
  Dr A Lee, Dr H Pask
Applications accepted all year round
Terahertz (THz) radiation has the potential to revolutionise the fields of security, medicine and numerous industries, through its application in imaging and spectroscopy.
  Adaptive approaches for predictive modelling of Complex Multilayered Networks
  Dr K Musial-Babrys
Applications accepted all year round
Nowadays, we have the possibility to process ‘big data’ (gathered in computer systems) about the interactions and activities of millions of individuals.
  Automatic composition, optimisation and adaptation of multi-component predictive systems
  Prof B Gabrys
Applications accepted all year round
Applications are invited for a 3 year, fully funded PhD research studentship to work on a project entitled "Automatic composition, optimisation and adaptation of multi-component predictive systems".
  Development of robust and scalable hyperbox based machine learning algorithms
  Prof B Gabrys
Applications accepted all year round
The research conducted in this project will explore (fuzzy) interval, hyperbox or hyper-rectangle representation of the data as a basis for developing robust, scalable machine learning algorithms and evaluate their potential for reconfigurable hardware (for instance in FPGAs) and in-database implementations.
  Multiple Spreading Processes in Real-World Dynamic Complex Networks
  Dr K Musial-Babrys
Applications accepted all year round
We need to challenge current trends and existing approaches as well as promoting new, sometimes controversial and maybe even bold ideas for analysis of spreading processes in complex networks.
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