9 image-processing PhD scholarships at Swinburne University of Technology in Australia
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Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of
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role supports the development of a novel nanophotonic therapy to treat drug-resistant hypertension—a major and growing global health challenge. The successful candidate will focus on synthesising
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position is monitoring administrative processes across the student lifecycle—starting from commencement through to completion—to ensure alignment with both internal university policies and the ESOS Framework
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University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly
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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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in the below key accountabilities: Experience with training and implementing neural networks and/or analysing satellite imagery Experience working with large databases and/or developing image
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our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and
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Behaviour; Culture, Psychology and Law; Psychology and Legal Processes; and Rehabilitation, Reintegration and Offender Management. About you To be successful in the role, you will have: Bachelor degree
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are seeking a highly motivated and enthusiastic candidate with a strong interest in computer vision, AI, and robotics. The ideal candidate will have solid programming skills, particularly in Python, and be well