128 parallel-and-distributed-computing-phd positions at University of Adelaide in Australia
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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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the timing, scale, and rate of mammal declines in Australia. They will use critical inferences of past demographic change and high-performance computing to disentangle the ecological mechanisms that were
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English teacher training services to the international and local market. The English language program offerings include packaged pathway, short term programs and post entry Academic English skills offerings
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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, computational design, architectural engineering, or construction. In this position you will work with world-class researchers, academics, award-winning practitioners, and global thought leaders. We focus
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Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
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combatting wildlife trafficking and environmental harm. To be successful you will need: PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field
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responders and operational risk assessment regarding skin decontamination and will build on a program of work focused on dermal exposure to chemicals. To be successful you will need: Completion of a PhD in
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funded 3.5 year PhD projects that will develop an innovative approach for enabling the discovery of natural hydrogen accumulations in continental interiors. Using the unique natural laboratory
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research community. Selection Criteria (Level B) Essential A PhD in Biometry, Statistics, or related field. Proven skills in the application of biometry/statistics to plant phenotyping datasets, including