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contributions. Ability to provide advice, support and supervise Higher Degree by Research students. Experience in collaborating locally and nationally in the interest of enhancing research outcomes. Ability
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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the supervision of research students (PhD and Honours) and provide technical support across the projects. About you The University values trust, accountability and excellence . As such, we see the importance
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to competitive grant proposals and research impact activities collaborate with interdisciplinary researchers across engineering, management, and AI supervise or mentor research students, where appropriate. About
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for chemical research and education. We have access to a comprehensive range of modern research and teaching facilities. The School attracts outstanding undergraduate students, including large numbers
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academic staff (with an increasing degree of autonomy) provide informal mentoring and advice to students within discipline (where appropriate) ensure quality, standards and excellence are maintained in any
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conference presentations. provide informal mentoring and guidance to junior team members, including undergraduate and PhD students foster a positive and inclusive workplace culture that values diversity
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, Carbon Capture & Storage, Hydrogen & Energy Storage, Hydrogen Economy, Economics, Business Administration, Management, and Finance. Discover more about our research centers and our research strategy
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collaborate with interdisciplinary researchers across engineering, management, and AI supervise or mentor research students, where appropriate. About you The University values courage and creativity; openness
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comprehensive range of modern research and teaching facilities. The School attracts outstanding undergraduate students, including large numbers of talented students, from all over Australia and has a large cohort