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characterisation expertise including Electron Microscopy and/or Atomic Force Microscopy. Electroactive biomaterial experience, including electrochemical characterisation and synthesis. Expertise with advanced
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characterisation expertise including Electron Microscopy and/or Atomic Force Microscopy. Electroactive biomaterial experience, including electrochemical characterisation and synthesis. Expertise with advanced
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waste-heat recovery from power electronics and electric motors, publishing findings in high-quality international peer-reviewed journals, and assist in supervision of PhD and undergraduate research
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produce high quality outputs. To be successful in this position, you will have: PhD in Tissue Engineering, Biomaterials, Biomedical Engineering, Cell Biology or related field. Experience in tissue
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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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Learning (AIML), driving the growth of Industrial AI across key areas such as natural language processing, computer vision, and machine learning. In this role, you will undertake cutting-edge research
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. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture. Nanoscale characterisation expertise including Electron Microscopy and/or Atomic
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. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture. Nanoscale characterisation expertise including Electron Microscopy and/or Atomic
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developing the next generation of smart wind turbine blades. You will play a key role and have skillset in one or more areas of electrical engineering, including power electronics, inverter control, rotating
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and