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surgical outcomes. You will work on the development of machine learning algorithms that analyze thermal data and predict vascular performance, significantly contributing to the automation of medical imaging
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HIL environment rather than only on offline simulation. Learning outcomes anticipated include stronger understanding through immediate feedback on live systems, deeper engagement with
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individuals that make up our community and embraces the opportunity to learn from both our differences and similarities. CPTC values equity and respect. We seek to create an environment of innovation and
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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Advisor: João Paulo Lopes Monteiro (ist169647) Organic Unit: Department of Electrical and Computer Engineering Scholarship Theme: Software development for 5G Nanosatellite mission Duration: 12 months
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their Bachelor’s degrees with very good grade point averages. They have furthermore been admitted to one of the following Master’s degree programmes at RWTH International Academy: MSc Computer Aided Conception and
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We
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student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us