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PhD Scholarship A PhD scholarship as part of an Australian Research Council Discovery Early Career Researcher Award. The PhD student will be part of a leading research team to investigate how
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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integrated with, or operate alongside, metal detectors to deliver cutting-edge detection capabilities. Applications of this research include: Detection of subsoil layers, utilities, landmines and IEDs, UAV
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well as the sensitivity, precision and accuracy of both established and new methods. You will work with local and international Zoetis team members, as well as researchers from the Bio21 Institute, including the Mass
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months of their candidature start date (or the equivalent pro rata for part-time students); be progressing satisfactorily in their candidature; not have previously received funding for participation in
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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. Scholarship Details Maximum number awarded 1 Eligible courses The student will be required to undertake online courses related to the research topic and corrosion theory, in addition to completing a course on
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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, advanced soil analysis, and modelling. The research involves field work in Western Australia’s unique ecosystems, applying cutting-edge imaging, spectroscopy and molecular techniques, and leveraging machine
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research