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, analysing device performance, and identifying opportunities for design improvements to help advance Scion's circular bioeconomy innovations. Research Abstract Smart packaging with embedded sensors is
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which of the following general areas best describe your research interests (you may select up to three): Algorithms, Theory, and Foundations Artificial Intelligence and Machine Learning Computing
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researchers. -Gain exposure to AI-driven modelling, sensor technologies, and digital platforms used in environmental monitoring and forecasting. -Opportunities to contribute to publications or open-source tools
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. Our academics undertake research across a wide range of computing fields: software engineering, data science, algorithms and theoretical computer science, cyber security, communication and information
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mechatronics, robotics, system dynamics, control, mechanisms, engineering mechanics and related fields Strong ability in firmware and real time control algorithm development for mechatronic systems & applying
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documentation of work and openness to feedback Previous experience working with remote sensing imagery, deep learning algorithms, or machine learning training data is desirable but not essential Ability to carry
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firmware and real time control algorithm development for mechatronic systems & applying knowledge in dynamics and designing various components for mechanical systems and automation Ability of developing
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algorithms, and hold a PhD in Electrical Engineering, Computational Engineering, Applied Mathematics, or a related field. You will also have: Strong understanding of power system transient simulation concepts
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. This includes the use of behavioural data, eye tracking and potentially other sensor data. A second goal of this research is to develop procedurally generated tasks for training spatial reasoning skills. In