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                to contribute to the development of management strategies for these pests. The ideal candidates will have a PhD in agricultural entomology or closely related field and interest in advancing knowledge that will 
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                commitment to diversity, collaboration, and ongoing professional development is essential. To be successful you will need: Masters / PhD in Engineering /Agricultural science or relevant area, or significant 
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                environment. To be successful you will need: Masters/ PhD in Mechatronics/Robotics or relevant area, or significant and appropriate industry experience. Demonstrated practical experience in application 
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                you will need: A PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including 
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                : A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural 
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                will need: A PhD or equivalent in stochastic modelling, data science, network analysis, statistics, or related discipline Is eligible to apply for an Australian Government security clearance. Research 
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                : PhD (or thesis submitted) or equivalent experience in experimental laser physics, photonics, optics, optical engineering and/or optical sensing. A commitment to research excellence. Demonstrated ability 
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                The Bob Croser Woodland Recovery Supplementary Scholarships are funded by the Bob Croser Woodland Recovery Project to support full-time PhD students who are commencing research to support woodland 
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                an impactful career in quantum technology within a world-leading research institution. To be successful at Level A you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices 
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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