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for fulfilling its teaching, research, and clinical missions. DoM employees approximately 600 salaried faculty, nearly 300 academic appointees, and more than 300 residents, fellows, and postdocs, supported by
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and humanities researchers who have been accepted for their doctoral or postdoctoral training at leading overseas research or academic institutions; Forge strong professional networks with promising
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, and research personnel of the Canadian Pediatric Diabetes Consortium (CAPACITY). CAPACITY is a network made up of clinicians, researchers, patients and families, and key stakeholders from pediatric
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
Laboratory is offering a unique opportunity for a motivated student to pursue an industry embedded PhD in target tracking and sensor fusion. The project will involve an intensive research programme supported
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of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 across the division, and plugin to our network of over 400 who work across the University in
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networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks). Recognition Awards to reward staff who go
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of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 across the division, and plugin to our network of over 400 who work across the University in
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academic area, to develop and deliver teaching and support learning Use a range of delivery techniques to enthuse and engage students Participate in and develop external networks: for example, to contribute
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the establishment of productive research networks across RMIT, and with local, national, and external stakeholders. You will be expected to deliver high-quality research outcomes, secure research funding, and produce
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Analysis and apply today! This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data