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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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experience in the area of imaging, materials characterisation, physics, engineering, chemistry, mathematics, computer science, advanced manufacturing, or related fields.
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health, pharmacy, public health or health information management, or a related field, such as digital health, health informatics or psychology, with demonstrated experience in health settings Demonstrated
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, publications, and conference attendance. Second, the PhD candidate will benefit from expert supervision from research leaders in sociology, psychology, criminology and computational social sciences. Third
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an important part of a Monash AI institute collaboration between the Arts and IT faculties around technology for orientation and mobility for Blind and Low Vision people. The PhD project will undertake
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statistical data science. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy . To apply, email Associate Professor Nicole White and include your
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, computer science or a related discipline. Experience with Python or another scientific programming language would be highly desirable. Prior experience with GNSS-IR or data assimilation is not essential, provided
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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology
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the Australian Government Research Training Program Fees-Offset . About the project Workers’ compensation, Job Seeker and Disability Support Pension, are central components of Australia’s social safety net. These
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This PhD project will sit within a broader multi-stage research program focused on adapting the GREAT cognitive rehabilitation program for people living with Primary Progressive Aphasia (PPA) HDR