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___ The University of Newcastle, Australia Study Undergraduate Postgraduate International Pathways PhD and Research Masters New Students Scholarships Research Research excellence Research priorities Our stories Partner with us Institutes and centres Research facilities Graduate Research Research...
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the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field. Eligibility You need to meet the entry requirements for a QUT Doctor of
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) International Scholarship Opportunities at Faculty of Engineering Location: Clayton campus Employment Type: Full-time Graduate
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) Domestic Scholarship Opportunities at Faculty of Engineering Location: Clayton campus Employment Type: Full-time Graduate
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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 18 hours ago
technologies or IoT being advantageous. A background/knowledge in agriculture relevant to project focus will be desirable. Familiarity with digital twin modelling, remote sensing, and cloud computing is valued
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. Eligibility To apply for this scholarship, you must meet the entry requirements for a Doctor of Philosophy (PhD) at QUT, including any English language requirements for international students. You must also
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nutrition strategies to improve outcomes for people in the post-treatment survivorship phase. The successful candidate will be supervised by Doctor Megan Crichton and Distinguished Professor Patsy Yates and
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with digital twin modelling, remote sensing, and cloud computing is valued, as is a commitment to learning and advancing in these areas. The successful candidate will have the ability to work with large
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot