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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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committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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analytical characterisation (e.g., LC-MS). Patch-clamp electrophysiological measurements of peptide activity against a range of voltage-gated ion channels, especially voltage-gated potassium channels