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publications, commercialisation, and/or dissemination as open-source designs. The ideal candidate might be from an academic (e.g. PhD/Postdoc in a related engineering/electronics/sustainable engineering area) or
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to work independently with minimum supervision. Ability to assist in supervision of Ph.D. students. Responsibilities: Operationalize and optimize dense plasma focus device (DPF) for runaway electron and
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Computer Science, Robotics, Artificial Intelligence, Machine Learning, or a closely related discipline. Demonstrated research experience in AI, robotics, machine learning, computer vision, or related fields. Strong
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, and the development of experimental capabilities. Qualifications • A PhD, or a PhD expected to be awarded soon, in materials science, physics, optical engineering, electrical or electronic
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Job Description A Research Fellow position is available in the research group of Professor Ho Ghim Wei at the Department of Electrical and Computer Engineering and Materials Science Engineering
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communication, organisational and interpersonal skills are essential, together with the ability to work independently and collaboratively within a multidisciplinary environment. Experience in cancer
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: atomic layer deposition, electron-beam and/or stepper lithography, reactive ion etching, physical vapour deposition and evaporation, and wet processing. • Demonstrated ability to take a device
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, artificial intelligence, software engineering, human-computer interaction (HCI), data science, or a related discipline], or other relevant interdisciplinary disciplines (e.g. biomedical engineering, healthcare
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new technology for monitoring the placenta. This involves the integration of optical and electrical human body sensors into an electronic system, their characterisation and measurements on pregnant
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Fellows (Health Services Researchers) to support Professor Melissa Baysari in a programme of research funded by an NHMRC Investigator Grant. The research will focus on safety of the new Electronic Health