-
, laboratory analysis, device optimisation, and techno-economic evaluation, contributing to publications, funding proposals, and real-world implementation pathways. You may also contribute to limited
-
to develop computational models for engineering decision making, ideally in manufacturing and engineering scenarios. Familiarity with metal additive manufacturing processes and design for additive
-
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
-
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
-
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
-
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