14 composite-materials-postdoc Postdoctoral positions in computer-science in Australia
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, $93,424 - $125,896 + 17% superannuation About the opportunity The School of Chemistry is seeking a highly motivated Postdoctoral Research Associate in Polymer Chemistry and Hydrogel Materials to join a
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the research group, University and broader research community. Curious to learn more? Don’t hesitate to contact us. The team The successful candidate will work as part of the Photonic Materials & Optical Fibres
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, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI), Partner Investigators (PIs), research
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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improvements. Apply chemical process engineering principles to develop process configurations, perform material and energy balances, prepare process flow diagrams and piping and instrumentation diagrams, and
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improvements. Apply chemical process engineering principles to develop process configurations, perform material and energy balances, prepare process flow diagrams and piping and instrumentation diagrams, and
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configurations, perform material and energy balances, prepare process flow diagrams and piping and instrumentation diagrams, and select appropriate equipment. Contribute to device scale-up and system integration
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, Wallumattagal Campus, North Ryde The Role We are seeking a highly motivated and skilled research associate to contribute to a discovery project on upcycling waste plastics funded by the Australian Research
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University, Wallumattagal Campus, North Ryde The Role We are seeking a highly motivated and skilled research associate to contribute to a discovery project on upcycling waste plastics funded by the Australian
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modelling approaches, including integrated assessment modelling, material-flow analysis and life-cycle assessment, while developing robust and reproducible workflows using large and complex datasets