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@swin.edu.au or call +61 3 9214 3550. Please note the above number and DCR email address are for disability or reasonable adjustments queries only. General enquiries about the role can be sent
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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 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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) 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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for the PD, application form or any other document, please contact DCR@swin.edu.au or call +61 3 9214 3550. Please note the above number and DCR email address are for disability or reasonable adjustments
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for the PD, application form or any other document, please contact DCR@swin.edu.au or call +61 3 9214 3550. Please note the above number and DCR email address are for disability or reasonable adjustments
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contact DCR@swin.edu.au or call +61 3 9214 3550. Please note the above number and DCR email address are for disability or reasonable adjustments queries only. General enquiries about the role can be sent
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accessible formats for the PD, application form or any other document, please contact DCR@swin.edu.au or call +61 3 9214 3550. Please note the above number and DCR email address are for disability
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9214 3550. Please note the above number and DCR email address are for disability or reasonable adjustments queries only. General enquiries about the role can be sent to talentacquisition@swin.edu.au
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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology