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to develop innovative analytical solutions, enhance research capability, and help create lasting impact through data-driven discovery. At UQ, you will be challenged, inspired and rewarded while contributing
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. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power systems. Experience with real-time simulation platforms, hardware-in-the-loop
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qualification, or near completion of a doctoral qualification, in Psychology, Neuroepidemiology, Neuroscience, Neurology or a related discipline, together with demonstrated analytical and manuscript preparation
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in Physics, Astronomy, or a closely related discipline (conferred or near completion), possess strong analytical and problem-solving skills applied to experimental or theoretical research and
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. Proficiency in programming languages and analytical tools such as R, Python, and machine learning frameworks. A strong track record of research outputs, including publications in high-quality peer-reviewed
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sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best
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and analytics protocols for clinical trial datasets Apply deep learning and AI to time series neuromonitoring data Build and test predictive models using machine learning techniques Drive methodological
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degree or higher qualification and/or progress towards a doctorate, or a doctoral qualification, in a relevant discipline. The position requires strong analytical, problem-solving, planning and
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by combining plant performance, physiology, and functional traits Access cutting-edge field and analytical approaches while building your academic career THE ROLE An exciting opportunity for a
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implement data management and analytics protocols for clinical trial datasets Apply deep learning and AI to time series neuromonitoring data Build and test predictive models using machine learning techniques