13 postdoc-in-automation-and-control Fellowship positions at The University of Queensland in Australia
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the modelling team to ensure experiments generate the required parameters for model training. Contribute to design of automated workflows for running multi-condition and perturbation studies. Carry out sample
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editing (e.g., CRISPR/Cas9) and modular cloning techniques to engineer yeast strains. Implement metabolic engineering strategies to optimise pathway flux and reduce by-products. Collaborate with automation
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standards and controls for reliable outputs. Perform standard maintenance on instruments for optimal performance. General Assist, support and maintain in the day-to-day activities and operations of the centre
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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
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internationally renowned experts We focus on: Advancing operational risk and control management Enhancing workplace safety and health Progressing effective human factors approaches. Leveraging advanced data
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. You will develop sensitive methods with excellent quality control, be able to interpret high-resolution mass spectrometry data, conduct MS/MS experiments, and quantify or semi-quantify analytes in
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approved research ethics protocols and apply safe design principles. Contribute to research quality assurance, control and continuous improvement activities with up-to-date SOPs. Contribute, where relevant
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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
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, particularly those affected by physical health comorbidities such as those associated with schizophrenia. The team is actively engaged in psychiatric epidemiology, randomised controlled trials, observational