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learning and modelling to reveal plant-soil-microbe interactions. Your findings will inform climate and environmental policy and may contribute to shaping Australia’s carbon credit system. You’ll work with a
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that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work on designing and
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What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria , including English language requirements (an IELTS score of 6.5 or above if English is not your...
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established structure and intellectual community. Additional opportunities include co-authored publications, participation in symposia and workshops, school-engagement activities, and involvement in future
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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qualifications in psychology, human factors, artificial intelligence, human computer interaction, or a discipline that could shed light on individual and team dynamics within the context of command and control
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for an outstanding PhD scholar in soil science and restoration ecology. This PhD project will involve research approaches for soil preparation that optimise soil moisture and nutrient/organic accumulation and
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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will
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administrative records on the supply of mental health workers and mental healthcare services delivered over time. The expected outcomes of this project include new evidence on how the market structure and