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to the overall research inputs and outputs of the College and University. This is reflected in the 2018 Excellence in Research in Australia outcomes where Electrical, Civil, Mechanical and Resource engineering FOR
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to the overall research inputs and outputs of the College and University. This is reflected in the 2018 Excellence in Research in Australia outcomes where Electrical, Civil, Mechanical and Resource engineering FOR
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to the overall research inputs and outputs of the College and University. This is reflected in the 2018 Excellence in Research in Australia outcomes where Electrical, Civil, Mechanical and Resource engineering FOR
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. The project will use cutting-edge atmospheric plasma pen technology to bio-functionalise hybrid scaffolds with spatial resolution, followed by systematic characterisation of the adhesion and conformation
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University. This is reflected in the 2018 Excellence in Research in Australia outcomes where Electrical, Civil, Mechanical and Resource engineering FOR codes received an ERA5. The University of Newcastle
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inputs and outputs of the College and University. This is reflected in the 2018 Excellence in Research in Australia outcomes where Electrical, Civil, Mechanical and Resource engineering FOR codes received
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-intensive Schools within the University. The School consists of four discipline groupings: Civil and Environmental Engineering and Surveying; Chemical and Renewable Energy Engineering; Aerospace Systems
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Programs. Manage Systems, Processesand Technology to maximise the effectiveness and impact of learning opportunities. Who are you? You are a genuine and dynamic leader who has the capability to operate
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-intensive Schools within the University. The School consists of four discipline groupings: Civil and Environmental Engineering and Surveying; Chemical and Renewable Energy Engineering; Aerospace Systems
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into 17 additional programs offered by the university. The School is one of the University's most research-intensive schools. Our researchers apply cutting edge technology and relevant disease models