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aims to define the optimal specifications for spaceborne hyperspectral sensors to detect diseases in Australia’s key wheat and barley crops. The successful candidate will lead the development and
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borehole seismic data obtained with various sensors. Assist in planning, design and implementation of field experiments to collect high quality geophysical data for research projects utilising fibre optic
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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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or condensed matter physics, with a willingness to engage in experimental applications. The successful applicant will also be involved in the design, fabrication and measurement of quantum sensors in the Jesper
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public health network and collaborations including local and international organisations contribute to applications for competitive research grants or funding to deliver research impact supervise
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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systems for sensor alignment, motion control, and structural stability; collaborating on the assembly, integration, and optimisation of laser imaging platforms; conducting testing and validation to ensure
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Advance Net Zero with sustainable feedstock solutions for low-carbon fuels Lead
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Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance learning at scale. Research directions include designing
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effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government. Excellent planning and organisation skills. High-level interpersonal and