457 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Monash University
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Monash Mentor Scholarships The Monash Mentor Scholarship is designed to recognise excellence of students participating in the Access Monash Mentoring program. Mentors have the opportunity to develop
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind the scenes and the simplex algorithm is one of the top 10 most influential algorithms. Major...
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to detail, accuracy, and understanding of confidentiality principles Well-developed communication skills, with experience drafting documentation and reports High level of computer literacy, including
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with generous top-up scholarships. We're looking for talented students with a background in mathematics, computer science, statistics, economics, engineering or other related fields. These positions
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leaders to align learning initiatives with strategic business goals. End-to-end program delivery – From concept to impact, you will manage programs with precision, leveraging data data to measure impact and
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applicants): one in the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Monash scholarships are highly
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to access leadership and community engagement opportunities and to support the development of emerging engineering leaders to encourage these talented individuals to enter the mining industry upon completion
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This project will explore the use of Mixed-Reality (MR) headset technology to support people in performing maintenance tasks in complex environments, where the nature of the work involves close
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer