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PhD Scholarship – Natural Interaction Strategies for Long-Term Robot Use for Elderly Care Job No.: 672833 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term
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the whole university to help you or your organisation get future fit, fast. More about us Contact us For individuals Improve your performance, advance your career or make a change with real world short
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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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. The PhD candidate will be supervised by researchers at Curtin’s enAble Institute, School of Population Health, and the WACHS-Curtin Research and Innovation Alliance. The Alliance is embedded within the WA
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and inadequately captured in service and system-level data. This PhD project will examine the integration of care for co-occurring mental illness and addiction within Victorian mental health services
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not provide sponsorship for this position) Acknowledgement of Country The University of New England (UNE) is a regionally based, globally networked university renowned for the quality of its student
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of this position (UNE will not provide sponsorship for this position) Acknowledgement of Country The University of New England (UNE) is a regionally based, globally networked university renowned for the quality
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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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% superannuation. Fixed term, full-time position available for five yearsincluding a competitive research support package. We invite applications to join the Computational Systems Oncology Program at SAiGENCI as a
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learning architecture for real-time underwater acoustic communication: State-of-the-art deep learning is not practical to be embedded with limited resources in real-time, since deep learning is cumbersome