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for legged mobile manipulators performing forceful manipulation. The Research Fellow is expected to: •Develop whole-body control and loco-manipulation methods for legged platforms performing forceful, bimanual
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 23 hours ago
develop their expertise. About the role In this position, you will contribute to funded industry projects focused on work design and wellbeing at work. Working closely with the Centre Director, you'll apply
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teams to develop and integrate AI-based digital design solutions into existing and new software systems Analyze and assess current digital design flows, libraries, and system architectures to identify
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Seek Postdoctoral Fellow - Meat Science Research Conduct research and data analysis to support the development of rapid meat quality measurement technologies for commercial processing environments. Mō te
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locally at CMU include the development and characterization of radiation detectors and precision mass measurements with the CHIP-TRAP Penning trap. The selected candidate will be focused on the program of
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We are seeking an outstanding, creative researcher with the skills to develop novel topological photonic crystal/metamaterials for efficient light control. Our project - sponsored by the Royal
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, behavioural science, health policy or clinical fields. Experience working with priority populations as defined in the Australian Cancer Plan will be highly regarded. Mentoring and career development
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, behavioural science, health policy or clinical fields. Experience working with priority populations as defined in the Australian Cancer Plan will be highly regarded. Mentoring and career development
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for the rational design of more effective delivery systems, particularly for challenging therapeutic cell types. The Research Fellow will take a significant role in leading research projects, developing new
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develop novel theoretical frameworks and algorithms for quantum-enhanced learning and intelligent agents, with research directions including quantum advantages in data-sparse learning, quantum algorithms