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responsible for the quality management and PA&S functions throughout the design, development, and operation of projects within the Directorate of Human and Robotic Exploration Programmes (HRE). As a Research
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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
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Postdoctoral Fellow for Cardiovascular Development and Regeneration - (210000BE) Postdoctoral Fellow for Cardiovascular Development and Regeneration A Fulltime Postdoctoral Fellow position is
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equipment. Job Requirements: Education qualifications: PhD (Mechanical Engineering) or above Soft skills: Organization management and project progress control ability, channel development and industry
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to develop innovative analytical solutions, enhance research capability, and help create lasting impact through data-driven discovery. At UQ, you will be challenged, inspired and rewarded while contributing
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has already demonstrated significant promise in operational settings and will now be further developed and validated to support large-scale commercial deployment. The project focuses on improving
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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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Postdoctoral/Research Fellows in Asia Research Institute (Food Politics and Society Cluster FY27/28)
of the relevant ARI research cluster. Given that a growing proportion of ARI’s funding is derived from external sources, preference will be also given to candidates with the potential to collaborate in developing
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from rich multimodal demonstration data; (b) conduct research on skill composition for complex long-horizon tasks; (c) develop methods for atomic skill retrieval and representation; (d) develop
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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding