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science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics
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Be part of a pioneering centre that's setting the global standard for responsible AI Shape the future of technology while making a meaningful impact on society Join a collaborative environment where
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Remote Sensing, Computer Vision, Machine Learning, Plant Science, Agriculture or related field and extensive relevant experience, or an equivalent combination of relevant experience and/or education and
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Computer Science, Electrical Engineering, or a related field. A PhD is highly desirable; candidates with a master’s or bachelor’s degree must demonstrate equivalent research or industry experience. Strong
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areas with a strong focus on collaboration. The clinical project will focus on developing tools to identify and potentially prevent chronic pain usage in hip fracture patients. The radiological project
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***Register for the upcoming webinar on 10 June 2025, 10.00am - 11.00am (ACST)*** The John Monash Scholarship enables talented Australians to pursue a master’s or PhD program at any world-class
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Job no:516775 Work type:Continuing - Full-time Campus:Adelaide Categories:Level B, Level C, Faculty of Sciences, Engineering and Technology Continuing position, full time opportunity The Discipline
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Job no:517048 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 or (Level B) $114,917
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, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
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(HE05) $82,922- $92,203 annum plus an employer contribution of 17% superannuation applies. Continuing full-time position available. Opportunity to join the School of Health and Medical Sciences