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This project is aimed at developing platforms to provide security in the post-quantum era. The project aims to incorporate quantum technologies, including quantum machine learning and quantum
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application for admission to the PhD (Applied Physics) program. Ideally, candidates would have a background in optics, condensed matter, and quantum physics. Additionally, some understanding of programming is
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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
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According to the BIRS-RMIT program, students will receive a generous scholarship with nominal tuition fees from BITS, plus a full RMIT tuition fee scholarship, and stipend for the duration of your
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This project will explore the use of integrated photonic chip technology to realise all of the components of an atomic clock on a single chip. It will be conducted within the context of the internationally recognised Integrated Photonics and Applications Centre working with a team of more than...
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candidates will be invited to submit a full application for admission to the PhD (Applied Physics) program. To apply, please submit your curriculum vitae and academic transcripts via email to Dr. Jean-Philippe
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example, a Research Training Program (RTP) scholarship or other primary scholarship of similar value; not be in receipt of any other Top-Up scholarship; be available to commence with CSIRO prior to 30 June
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Services, who is the industry partner supporting this exciting R&D project. You will also enjoy a 12-week specialised training program that will enhance your industry engagement and collaboration skills
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School
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Safety Products, from their Australian manufacturing facilities supporting this exciting R&D project. Receive continuous mentorship from the best in academia and industry. Enjoy a 12-week training program