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Information Science PhD Projects, Programs & Scholarships in Australia

We have 9 Information Science PhD Projects, Programs & Scholarships in Australia

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  Advanced Microstructure Design to Improve Formability of Ultra High Strength Steels in Conventional and Flexible Roll Forming
  Dr V Janik, Prof R Dashwood
Application Deadline: 20 January 2019
This PhD project is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia.
  HDR Scholarship - Wildlife to Wellbeing; the multiple values of citizen science and new technology. A unique cross-disciplinary PhD opportunity
  Prof D Driscoll
Application Deadline: 31 January 2019
Biodiversity, including our native plants and animals, faces many threats, with many species undergoing severe declines. Arresting these declines requires up-to-date knowledge of changes in biodiversity and a solid engagement of society with nature.
  Exploring Evolutionary Impacts of Deception
  Dr C Kopp
Applications accepted all year round
Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator-prey simulations, the evolution of cooperation and altruism, the evolution of niches and food chains.
  Analytic methods for detecting and making sense of somatic genomic rearrangements
  Prof A Papenfuss
Applications accepted all year round
Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  UQ-DTU QUANTUM: Quantum error correction, $27,082 (AUD) per year for 4 years
  Prof Timothy Ralph
Applications accepted all year round
The University of Queensland (UQ) and Denmark Technical University (DTU) have partnered on a Joint PhD Supervision Program to bolster our joint global research impact.
  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.
  Complexity at small scales with Circuit QED Quantum Simulators
  Dr NK Langford
Applications accepted all year round
PROJECT DESCRIPTION. In the field of quantum simulations, research into the behaviour of complex, interacting systems is driven by applications in areas like quantum chemistry and condensed matter physics, where near-future quantum processors will find their first real-world applications.
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