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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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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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to engage and collaborate with the broader University, school and discipline group to establish collaborative multi-disciplinary research outcomes. Qualification/s: A PhD in Civil Engineering specialising in
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PhD thesis, in electrochemistry, nanotechnology, chemistry sciences and material engineering or related applied science. A strong track record in electrode/electrolyte interface studies for secondary
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: A completed or nearly completed PhD in Biochemistry, Plant Biochemistry, Chemistry or related subject. Demonstrated skills in glycobiology and analytical chemistry Demonstrated understanding of plant
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong
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to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
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. The University is strongly committed to supporting diversity and flexibility in the workplace. We particularly welcome applications from women for this role. To be successful you will need: PhD in plant biology or
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine