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for understanding questions in geometry and physics. This scholarship is part of an Australian Research Council Discovery Project that aims to develop techniques for the design and analysis of highly nonlinear
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of the deepest and most-well-studied fields in the sky, ~50 strong radio sources were identified that had no infrared (IR) or optical counterparts, down to a very faint level. Named “Infrared-Faint Radio Sources
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
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learning models (i.e. keeping an eye on the system’s "brain" to quickly spot when it starts to struggle or behave unexpectedly). Our goal is to create tools that continuously evaluate the performance
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The candidates will design, develop and measure multi-qubit devices, where they will learn a wide range of techniques from single atom manipulation, device processing and optical measurements
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano/microfabrication, physics (optical) or a field related to the desired skills listed below, with a high level of academic
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at the University of Western Australia. This research focuses on understanding the impact of large motions of wave energy converters on hydrodynamic loads and developing nonlinear hydrodynamic models. The successful
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. You'll also contribute to the design and refinement of a catheter-based optical fibre system for delivering therapy. This interdisciplinary project lies at the crossroads of nanotechnology, chemistry, and
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic