20 Materials Science "Alma Mater Studiorum Università degli Studi di Bologna" PhD positions at University of Melbourne
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research experience in the field of either Mechanical Engineering or Materials Science and Engineering. Demonstrated ability to work independently and as part of the team. Demonstrated time and project
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presents significant opportunities in the realm of material science, but also experimental challenges for measuring and interpreting electronic and infrared spectra. The PhD candidate will generate carbon
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description: Nuclear magnetic resonance (NMR) is an indispensable technique, extensively used in chemical analysis, as well as in other fields including biology and physics. The imaging mode of the technique
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The University of Melbourne is a leading international university with over 160 years of experience in teaching and research. Located in the Greater Melbourne Area, the university is committed to providing high-quality education and fostering groundbreaking research in various fields. With a...
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management legislation in Pacific region countries – insights and opportunities A comprehensive legal review aims to reduce environmental, health and economic risk and improve waste management in 15 Pacific
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her to fulfil both her personal and professional ambitions. After completing her PhD in chemistry, Dr Seibt secured her dream job at the Australian Synchrotron. Life after graduate research: Dr Susi
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Law Discover your graduate research options in law. Arts, humanities and social sciences Discover your graduate research options in arts, humanities and social sciences. Engineering Discover your
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researchers the chance to work with researchers from other disciplines – a health researcher might work with neuroscientists to learn more about mental health, or an economics researcher might collaborate with
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the individual PhD Programs Biomedical Engineering Innovation PhD Program The Biomedical Engineering Innovation PhD Program is a multidisciplinary research training initiative. It is a supplementary learning
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-based optimization design framework is proposed to solve the problem of UAV-USV cooperative control. Develop data-driven optimization technology to solve the control problem of UAV and USV under uncertain