54 evolution "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at The University of Queensland
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dedicated website) to support Australian researchers and breeders, produce publications, and secure competitive funding. Supervision and Researcher Development: Supervise and mentor HDR and Honours students
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to join the Sorghum Strategic Alliance, a major partnership between the Grains Research and Development Corporation (GRDC) and UQ. This position will contribute to a new 4.5 year research initiative
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for professional development and growth. You will possess: A health services, clinical, public health or implementation research related degree with subsequent relevant experience in implementation science
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computer science, enhance your leadership skills through student supervision and researcher development, and contribute to internal and external service roles and activities. This is a research focused
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next-generation plant breeding. At UQ, you’ll be part of a community that celebrates new ideas, supports your development, and gives you the freedom and flexibility to grow your research career while
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Researcher Development: Supervise Honours and HDR students effectively; support researcher development through feedback and coaching; manage research staff and resolve conflicts in line with University
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Preparation Program, offering leadership and research training, mentoring, professional development, writing retreats, seed funding for innovative research, and opportunities to participate in national and
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research to monitor ecosystem states and transitions, producing high-quality outputs, securing competitive funding, and translating research into practice and impact. Supervision and Researcher Development
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, grant writing support, greater research funding opportunities, and other forms of staff support and development. The greater benefits of joining the UQ community are broad: from being part of a Group of
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater