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: Full-time Duration: Doctor of Philosophy (PhD) - 3.5-year fixed-term appointment Master of Engineering Science (Research) - 2-year fixed-term appointment Remuneration: The successful applicant will
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-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
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are available at www.monash.edu/graduate-research/future-students/apply . How to Apply: To apply please follow the following steps: Check that you are eligible to enrol in the program, i.e. you are an Australian
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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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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details This opportunity invites applications
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details It is desirable
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: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees
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: Identify how industry visions and assumptions shape the aesthetic design and use of home helper robots and inform the relationships people develop with them; Understand the current and potential roles and