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sensors as part of an ARC funded Laureate project. This role performs fundamental electrochemical research on developing electrodes that can provide insights into developing these sensors and how they can
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of social media trends, algorithms, and audience behaviours. Comfortable working with multiple stakeholders in a complex environment. Strong organisation and time management skills. A team player who
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the appointment, and will have experience in asymptotic, algorithmic or probabilistic combinatorics, or a closely-related area. Applicants should also be active researchers with good written and oral
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original research in asymptotic, algorithmic and/or probabilistic combinatorics, with particular focus on hypergraphs. Collaborate on research problems with the project team (Prof. Greenhill, Dr Isaev, A
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prototype sensor. About the role Level 8 – ($127k – $143k) - plus 17% Superannuation and annual leave loading Fixed Term – 15 months Full-time (35 hours per week) The role reports to Professor Dane McCamey