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Field
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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applicants to hold a Master’s degree in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, digital health, design, anthropology, sociology, or related
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the SuccessFactors Careers module from your NRC computer.
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module from your NRC computer.
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programming and/or software engineering Electrical engineering and/or power systems. Application Procedure Informal enquiries are encouraged and should be addressed to Dr Jack Umenberger (jack.umenberger
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writable PDF, so can be completed using a computer Step 3: Submit School must submit the nomination form to the Scholarships Office (scholarships@curtin.edu.au ) by the closing date Step 4: Receipt
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the nomination form The nomination form is a writable PDF, so can be completed using a computer Step 3: Submit School must submit the nomination form to the Scholarships Office (scholarships@curtin.edu.au ) by
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. • High level written communication and presentation skills and ability to communicate, consult and build partnerships with internal and external stakeholders • Ability to use computer systems and the
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users