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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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characterisation for all optical communications 2D materials and graphene photonics 3D printing of composite materials Nanophotonics solar energy harvesting, storage and applications Photonics approach for solar
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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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. 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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. Experience in developing high-temperature experimental techniques. Micro-CT imaging and analysis Experience in analytical techniques and materials characterisation such as XRD, SEM/EDS, optical microscopy
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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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. The candidate will contribute to the development of empirically validated methods for identifying and mitigating such effects. The research will involve experimental studies, neurophysiological methods (e.g., eye
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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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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