59 postdoc-in-distributed-systems-and-controls Fellowship positions at The University of Queensland in Australia
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Level A) Based at our St Lucia Campus About This Opportunity By 2050, solar, wind, and energy storage will dominate our electricity grid—but ensuring stability is critical. This ARC Discovery Project is
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systems for sensor alignment, motion control, and structural stability; collaborating on the assembly, integration, and optimisation of laser imaging platforms; conducting testing and validation to ensure
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) Based at our St Lucia Campus About This Opportunity We are seeking a Postdoctoral Research Fellow to join an ARC Linkage Project focused on advancing geomechanical modelling for underground CO₂ and H
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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
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Completion or near completion of a PhD in a relevant field. Demonstrated expert knowledge and experience in modelling and control in water and/or wastewater systems, and data science and data analytics methods
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just three faculties and 83 students, has grown into university ranked in the world’s top 50 that is renowned for being a leader in teaching and research. When you join the University of Queensland
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change, and we’ll help you get the best start to your academic career at one of Australia’s leading universities. Supported by several ARC research grants awarded to A/Prof Sarit Kaserzon, this is an
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The University of Queensland, is a national initiative that accelerates growth in Australia’s food and beverage sector through industry-research partnerships, advanced manufacturing, and training the next
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Postdoctoral Research Fellow or Research Fellow with expertise in youth substance use research, drug policies and tobacco control. This is an exciting opportunity to support high-impact, vital research and
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. Expertise in the evaluation of novel predictive agriculture methods such as crop and cropping systems growth models to support decision making, i.e. economic control thresholds for abiotic stressors, input