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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include
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PhD Scholarship for The Impact of Future Human Values and Practices on Australia’s Net Zero and Digital Transitions Job No.: 679372 Location: Caulfield campus Employment Type: Full-time Duration
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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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Curtin University in support of an Australian Research Council grant titled: ’Transforming Australian Cities through net zero corridors’. The scholarship is to support a student attain research skills in
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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 Net Zero Precincts (NZP) project has been awarded to Curtin University for a three-year period and includes several PhD scholarships. The project’s overarching research question is: How do we integrate
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
propagation Interfacing to array microfluidics Image analysis of biosensor response Sensor surface biofunctionalisation Optical communications High-speed signal analysis Modelling of optical propagation in
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markers/sensors and ii) automated assays based on high-content imaging systems to screen diverse chemical libraries for new and innovative bioactive molecules. This project will be highly collaborative and
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nutrients from food. Working alongside other postdocs and students focused more on structural aspects of these processes, this position will focus on understanding the bioidentity of the surface and how it