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computing equipment including word processing, spread sheeting, Microsoft Access and email. A sound knowledge of the Workplace Health and Safety Act and Regulations and an ability to implement
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have: a strong background in one of these areas: power system dynamic simulation and analysis grid integration of renewable energy sources power converter/inverter for renewable energy sources AI
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data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to
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. Demonstrated organisational skills, including the ability to prioritise competing tasks and deadlines. Demonstrated ability to use a large corporate computer system including inputting, accessing and extracting
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, with the ability to derive meaningful insights from complex datasets have excellent communication skills, both written and verbal, for presenting research findings and collaborating with
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an advantage. Quantitative analysis skills (e.g., statistics, network analysis, or modelling) or an ability and interest to develop these skills would be an advantage. How to apply To apply for this scholarship
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data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to
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initiative and work effectively in a diverse team environment under general supervision. Competent computer and information literacy skills, including the ability to work across systems, understand and
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for research. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy . The first step is to email Distinguished Professor Jean Burgess detailing your
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capacity and potential for research. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy . The first step is to email Distinguished Professor Jean