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For students who are interested in creative and challenging projects in the area of micro-nano fabrication and vacuum nanoelectronics for microwave vacuum electron devices. For students who
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forward for a School-funded scholarship. Expertise in Human-Computer Interaction and Human-Centred Computing. Interest in Human-Centred AI and Social Computing. Aspiration to publish in leading venues
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) with the following information to discuss eligibility: An academic CV that includes any publications/awards and the contact details of two referees A copy of electronic academic transcripts. A cover
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jianzhen.ou@rmit.edu.au for details Contact jianzhen.ou@rmit.edu.au for details Experiences in Materials Engineering, Electronic Engineering, and Photonic Engineering Experiences in Materials Engineering
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, please submit the following documents to Associate Professor Nicolas Menicucci via nicolas.menicucci@rmit.edu.au current CV, including the contact details of two referees electronic copy of academic
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. The candidates will design, fabricate and measure hybrid atom-photon devices, and they will learn a wide range of techniques from single atom positioning, device processing and electronic and optical
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excellent written and communication skills, demonstrated capacity to work independently and as a part of a team, and experience in research are preferred. Interested applicants should first email Professor
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environment, demonstrating critical thinking and problem-solving abilities. Students must reside in Australia for the duration of the project. Please email Dr Kate Wang at kate.wang@rmit.edu.au with your CV
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electronic academic transcripts A CV that includes any publications/awards and the contact details of two referees. Potential candidates need to send the following documents to Associate Professor Asgar
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision