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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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safety, innovation, and making a tangible impact, we encourage your application. Please note that the successful applicant will also need to satisfy the general requirements of entry into a PhD program at
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, Materials Science, or Manufacturing Engineering. Applicants should also ensure they meet the eligibility criteria for entry into a Swinburne PhD program. Full details can be found here . Additionally
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chemoreceptor activity. Your work will bridge both computational and experimental research, including validation using in vivo models, optimising light delivery systems, and aligning in vitro and in vivo findings
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health services. The PhD scholarship is available for a highly motivated and competitive candidate enrolled in a PhD program to undertake research that supports the research agenda of the project
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(Forensicare). The scholarship opportunity is open to individuals who identify as Aboriginal or Torres Strait Islander and are enrolled in a Doctoral Program. The scholarship aims to support highly motivated and
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for a PhD or Professional Doctorate as set out for their proposed program at Swinburne. hold a Bachelor Degree with First Class Honours (or equivalent) propose a research project that aligns with a