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for candidates with their knowledge and experience in the key focus areas: Essential Expertise in tissue engineering and regenerative medicine, ideally working with human mesenchymal stromal/stem cells, and/or
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University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through
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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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Overview: Drive experimental research in next-generation propulsion, focusing on rotating detonation engines and high-enthalpy systems for future high-speed flight Work in a multidisciplinary team
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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
: the School of Computing, School of Cybernetics, School of Engineering, the Fenner School of Environment of Society and the Australian National Centre for the Public Awareness of Science, all supported by
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academics, industry partners, technology developers and research collaborators to deliver high-quality research outcomes. Depending on appointment level, you will support or lead field and glasshouse trials
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of Engineering and contribute to industry-engaged research in construction materials and modelling. This role offers a rare opportunity to work across laboratory experimentation, scaled-up prototype testing, and
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in the fields of synthetic biology, photonics, and quantum technologies. More details about the SiP Lab can be found at: https://www.mq.edu.au/faculty-of-science-and-engineering/our-research/silicon
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electronics for sensor readout systems, including ASIC and SoC design and verification. Strong experience in hardware–firmware co-design for data acquisition and processing pipelines, including FPGA-based