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affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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degree (i.e. Doctor of Philosophy, Professional Doctorate, or Master of Philosophy) have completed at least the first milestone of your research degree 'milestone' means a mandatory candidature event that
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to four years. Research scholarships are available by application to both future and current students enrolled in or applying for a Doctor of Philosophy (PhD) or Professional Doctorate course at Swinburne
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-100) or equivalent. Meet the entry requirements for the relevant Higher Degree by Research at Swinburne University of Technology. The scholarship is contingent upon the candidate enrolling in the Doctor
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the candidate enrolling in the Doctor of Philosophy (Health Sciences), program. The capacity to work both independently and as part of a team in a collaborative manner. Problem solving and organisational
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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are available to both future and current students enrolled in or applying for a Doctor of Philosophy (PhD) or Professional Doctorate course at Swinburne. Courses eligible Doctor of Philosophy (PhD), Professional
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) scholarship. Courses eligible Doctor of Philosophy (PhD), Doctor of Psychology, Master by Research Eligibility / selection criteria Australian citizen or Australian permanent resident or New Zealand citizen