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A - AUD $87,266 - $118,416 (PhD Entry Level - $110,319) plus 17% super Collaborate with leading experts in mathematical physics and pure mathematics. Apply now to join this exciting ARC-funded project
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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or
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journals, Supervision of PhD and undergraduate research students Make use of ice sheet models, machine learning and published field datasets to reconstruct the evolving post-LGM Antarctic Ice Sheet. Initiate
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letter that demonstrates how you meet the following selection criteria: Essential: PhD in physics, astronomy, optics, atmospheric science, or a closely related field. Experience with adaptive optics
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Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
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. Develop spreadsheets and databases to keep accurate documentation and record of processes and decisions. What we’re looking for: A PhD (or near completion) or equivalent experience in a relevant field. A
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for these fellowships will normally be expected to meet the following eligibility criteria: A track record of proven academic excellence, such as a PhD or first class Honours (or equivalent). Completion
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% discount on eligible UQ Vets services Access to our $4.1 million UQ Sports facility On campus childcare , medical clinic, post office, and community garden Free parking and intercampus bus About You A PhD
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for knowledge transfer to industry and government stakeholders Oversee supervision and training of PhD students About you PhD qualification in Geoscience Demonstrated expertise in mineralogy, mineral chemistry
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Completion or near completion of a PhD in a relevant field. Demonstrated expert knowledge and experience in modelling and control in water and/or wastewater systems, and data science and data analytics methods