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to develop computational models for engineering decision making, ideally in manufacturing and engineering scenarios. Familiarity with metal additive manufacturing processes and design for additive
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experience in mammalian cell culture, organoid culture and analysis, and stem cell biology. Strong skills in molecular biology, next-generation sequencing, bioinformatics, general microscopy and confocal
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initiative developing the next generation of smart wind turbine blades. As part of the Australian Economic Accelerator Innovate project, this role will see you contribute to the design, analysis, optimisation
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National Laboratory, University of Virginia, University of Connecticut. They will be required to perform computational and theoretical analysis using a range of techniques, as well as collaborating with
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of the Australian Economic Accelerator Innovate project, this role will see you contribute to the design, analysis, optimisation, control, and full-scale testing of advanced wind turbine systems
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responsibilities will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer-reviewed journal articles and
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analysis. Interdisciplinary collaboration. Critical thinking. Qualifications and requirements The candidate should have a PhD in a topic relevant to regeneration and a track record of undertaking and