10 distributed-computing-"Multiple" Fellowship research jobs at University of Adelaide
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to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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of 17% superannuation applies. Fixed term, full-time 29-month contract available The Culturally Nourishing Schooling (CNS) project is practice and research informed program aimed to better engage and
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Capability is a $250 million enterprise powered by UoA and UNSW, with funding from the Australian Government through the Trailblazer Universities Program, as well as university and industry partners. Our
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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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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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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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, with a focus on elucidating interfacial components and reaction mechanisms at the fundamental level. Potential to lead a research program in fundamental and/or applied areas addressing current battery
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specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model