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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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completed a relevant Bachelor’s Degree and Honour’s or Master’s. Desirable criteria: Practical experience and conceptual background in cellular immunology. Interest in, and ability to, learn bioinformatics
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This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
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in, and ability to, learn bioinformatics. Experience in tissue culture. Applicants need to have a background in immunology, genetics or bioinformatics. They must have completed a relevant Bachelor’s
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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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ADM+S invites applications for PhD scholarships from students interested in the following areas: The development and distribution of automated decision-making (ADM) systems The applications
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skills demonstrate the ability to work as part of a multi-disciplinary research team meet RMIT’s entry requirements for the PhD by research degree Eligibility requirements: have a first-class Honours or
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representation learning paradigm. This approach allows each user to disclose an incomplete yet distinct set of personal information while still learning expressive user representations from that data
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. For international applicants, evidence of English proficiency may be required. Once approved, prospective candidates will be required to submit an application for admission to the PhD (Computer Science) program
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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