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will develop efficient quantum compiler methods to bridge the gap between quantum algorithms and their execution on quantum processors. The project will develop innovative quantum software components and
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combination of qualitative, quantitative and analytical methods. Two PhD candidates will join the research team and contribute to the broader Australian Research Council Future Fellowship project while
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jobs by other users leading to wrong answers. Similar security issues have been detected in the process of quantum error correction or software level compilations. In this project, PhD student will
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of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch
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density functional theory is needed. Shorter versions of these projects suit PHS2350/3350 and Masters students, and strong Honours students can continue to a PhD in the group. Example projects: Electric
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PhD Scholarship Opportunity: Quantum-Secured Artificial Intelligence Models Job No.: 699174 Location: Clayton campus Melbourne Employment Type: Full-time Duration: The scholarship may be held for up
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campus Department: Materials Science and Engineering Fully funded PhD scholarship available for an outstanding domestic or international candidate, subject to formal Monash assessment and approvals
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Doctor of Philosophy (PhD) in Physical Metallurgy of Hydrogen-Based Iron Oxide Reduction Job No.: 698996 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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PhD Scholarship Opportunity - Unravelling Cancer Metabolite Recognition by T Cells Job No.: 698874 Employment Type: Full-time Duration: 3.5-year fixed-term appointment Location: Monash University
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/scholarships/scholarship-policy-and-procedures . A tuition fee scholarship and Single Overseas Health Cover (OSHC) will be provided for a successful international awardee. The Opportunity This PhD scholarship is