62 web-developer-university-of-liverpool Fellowship positions at The University of Queensland in Australia
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the opportunity to lead impactful research in agribusiness, rural development and agricultural systems, applying systems thinking to address complex challenges affecting food systems and rural livelihoods. You’ll
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, 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 Eight university
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developing advanced, data-driven models and tools to integrate renewable generators securely into Renewable Energy Zones (REZs). Our goal: a reliable, affordable, and resilient decarbonised power system
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Focus your research efforts and develop your expertise and emerging research profile in polymer chemistry for environmental
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Focus your research on the development of new polymer electrolytes to be used in advanced batteries. In this role, you will
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Fermentation and support the development of fermentation workflows in close collaboration with clients, collaborators, and students. You will be primarily laboratory based and will work closely with our
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- $109,246.18 + 17% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity The Australian Food and Beverage Accelerator (FaBA), led by The University of Queensland, is a national
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Focus your research on the development of new polymer sorbents for the removal of emerging global contaminant per- and
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real change, and in return, you’ll have the opportunity to work alongside highly awarded, world-class researchers at one of Australia’s leading universities. Working under the guidance and direction
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, optimise, and design experiments using lab-scale bioreactor systems. You will generate the high-quality biological datasets required to train the biological layer of a digital twin, a computational model