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PhD Scholarship in Assistive Technology and Disability Job No.: 665632 Location: Clayton or Caulfield campus Employment Type: Full-time (expected to be full-time but may be part-time if health
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additive manufacturing techniques by incorporating live cells into hierarchical, multi-component structures. While this technology holds immense potential, current methods lack the ability to include
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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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July 2025 have a master’s degree in data science, computer science, operational research, transport engineering, or related discipline have a strong background in data science, machine learning
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candidate will ideally have a science or biomedical background with some experience in molecular biology, genomics, bioinformatics, virology and/or entomology. The candidate will have the opportunity
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, bioimaging, molecular biology and behaviour. We are seeking enthusiastic, dedicated and curious candidates to join our interdisciplinary research Group. Training/experience in one or more of the following