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Research Centre (CMERC) was established in 2019 to undertake research that works with nature to build an economically and environmentally sustainable future to enrich our coastal communities. From the base
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that works with nature to build an economically and environmentally sustainable future to enrich our coastal communities. From the base of CQUniversity’s Gladstone Marina campus, in the industrial port city of
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disciplines of molecular & cellular biology; ecology & environmental sciences; and genetics & evolution, delivering undergraduate and postgraduate education, training and research with both national relevance
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, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and Veterinary
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) Computing and information systems (0) Engineering (29) Architecture and built environment (11) Agriculture and environmental studies (15) Health services and support (49) Medicine (50) Nursing (47) Pharmacy
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CBD campus, but may be required to work and/or be based at other campuses of the University Are you passionate about renewable energy, environmental sustainability, and innovative materials science
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at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University Are you passionate about renewable energy, environmental sustainability, and innovative materials science
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partnerships and producing skilled, industry-ready graduates. The School employs over 120 academic and 60 FTE research staff across five academic Disciplines (Applied Chemistry and Environmental Sciences
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Environmental Sciences; Biosciences and Food Technology; Geospatial Sciences, Mathematical Sciences; Physics). The School has a diverse research portfolio across science and mathematics with international
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splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning