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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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, their spouse, and children at the end of their contract. School tuition fees for children to attend the K-12 program in Vietnam, up to $20,000 per child or $40,000 for two children per year. Premium private
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salary and 17% Superannuation Based at one of the RMIT’s Melbourne campuses (City, Brunswick or Bundoora) About the Program Each year, RMIT brings on the world’s best and brightest researchers and teams
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successful in this position, you’ll have: A Master or Honours degree in Computer Science related field Demonstrated expertise in ML, with significant experience in designing and implementing large-scale models
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Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life
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. The College is renowned for its exemplary research in many STEM areas including advanced manufacturing and design; computing technologies; health innovation and translational medicine; nano materials and
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funded Discovery project in collaboration with the University of Melbourne and Olivia Newton John Cancer Research Centre, providing a great opportunity to translate your computational results to practical
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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Overview: Full-time, One-year Fixed Term position (renewable subject to funding availability) Salary Academic Level B + 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the...
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC